CN117694892A - Emotion health state analysis method and electronic equipment - Google Patents

Abstract

This application provides an emotional health state analysis method and electronic device. The method includes: obtaining sensor data of the user during sleep in a predetermined time period; obtaining the user's heartbeat interval data based on the sensor data; obtaining the user's emotional health index based on the user's heartbeat interval data, and the user's emotional health index is used Indicates the user's emotional health state. As a result, non-sensory analysis of emotional health status is achieved and users are provided with digital emotional assistance tools.

Description

Emotional health state analysis methods and electronic devices

Technical field

The present application relates to the field of terminal technology, and in particular to an emotional health state analysis method and electronic device.

Background technique

As the pace of life, study and work becomes faster and faster, emotional health is a common psychological problem faced by users of all ages. The harm to emotional health has been confirmed by a large number of scientific studies, and it can easily cause users to develop mental health problems, mood disorders and neurological diseases, such as anxiety, depression, etc. In this regard, how to obtain emotional health has become a concern for users.

Currently, users are required to actively fill in questionnaires for evaluating emotional health, such as the Depression, Anxiety and Stress Scale (DASS-21 Scale), and based on the content of the questionnaire, the user's emotional health status can be obtained. For example, the user's emotional status is Which type of depression is mild, moderate, or severe.

However, the above method relies on the content of the questionnaire and cannot automatically obtain the user's emotional health status.

Contents of the invention

This application provides an emotional health state analysis method and electronic device, which can automatically analyze the user's emotional health state and improve the user's experience.

In the first aspect, this application provides an emotional health state analysis method, which includes:

Obtain sensor data during the user's sleep during a predetermined period of time;

According to the sensor data, the user's heartbeat interval data is obtained;

According to the user's heartbeat interval data, the user's emotional health index is obtained, and the user's emotional health index is used to represent the user's emotional health state.

Through the emotional health state analysis method provided in the first aspect, the electronic device obtains the sensor data of the user during the predetermined period of sleep, and can obtain the user's physiological characteristic information through the sensor data. Based on the sensor data, the user's heartbeat interval data is obtained, and indicators related to the user's emotional health status can be obtained through the user's heartbeat interval data. According to the user's heartbeat interval data, the user's emotional health index is obtained, and the user's emotional health index is used to represent the user's emotional health state. Therefore, based on the ability to evaluate the user's emotional health state, the sensorless measurement and analysis of the emotional health state is realized, and digital emotional auxiliary tools are provided for the user, allowing the user to obtain a good user experience.

In one possible design, the user's emotional health index is obtained based on the user's heartbeat interval data, including:

According to the user's heartbeat interval data, the heart rate variability index of the target sleep period is obtained. The target sleep period is the deep sleep period and/or rapid eye movement period that the user enters during the predetermined period of sleep;

Based on the heart rate variability index of the target sleep period, the user's emotional health index is obtained.

As a result, the electronic device can accurately obtain the user's emotional health index based on the user's heart rate variability index during the deep sleep period and/or the rapid eye movement period.

In one possible design, the method also includes:

Based on the user's heartbeat interval data, the fragmentation degree index of the target sleep period is obtained;

Obtaining the user's emotional health index based on the heart rate variability index of the target sleep period includes: obtaining the user's emotional health index based on the heart rate variability index and fragmentation index during the target sleep period.

Thus, the electronic device can comprehensively obtain the user's emotional health index based on the user's heart rate variability index and fragmentation index during the deep sleep period and/or rapid eye movement period.

In one possible design, the user's emotional health index is obtained based on the heart rate variability index and fragmentation index during the target sleep period, including:

Input the heart rate variability index and fragmentation index during the target sleep period into the emotional health state model to output the user's emotional health index. The emotional health state model is used to indicate the emotional health index and heart rate variability corresponding to different emotional health states. The correlation between indicators and fragmentation indicators.

Thus, the electronic device uses the emotional health state model to accurately obtain the user's emotional health index based on the user's heart rate variability index and fragmentation index during the deep sleep period and/or rapid eye movement period.

In a possible design, the heart rate variability indicators include: low frequency LF, high frequency HF, very low frequency VLF, low frequency normalized value LFnu, high frequency normalized value HFnu, and very low frequency normalized value VLFnu , the ratio of low frequency to high frequency LF/HFratio, the standard deviation SDNN of the RR intervals of all sinus beats, the root mean square rMSSD of the difference between adjacent sinus beats RR intervals, and the average value of the RR intervals of sinus beats in each 5-minute period. Standard deviation SDANN, the number of adjacent sinus beats with a RR difference greater than 50 milliseconds as a percentage of the total number of sinus beats pNN50, mean heart rate mean-HR, triangular index triangular, horizontal axis SD1, vertical axis SD2, or, the horizontal axis and At least one of the vertical axis ratios SD1/SD2 ratio.

This provides a rich implementation method for the user's heart rate variability index, allowing the electronic device to flexibly select one or more of the above to obtain the user's emotional health index.

In one possible design, the method also includes:

Record the user’s emotional health index;

The user's emotional health index is displayed in the first interface.

Therefore, the electronic device can record the user's emotional health index and display the user's emotional health index in a single time, a period of time, periodically, continuously, etc., so as to conveniently display the user's emotional health index to the user according to the time dimension and realize the emotional health index. Insensitive recording and display of health status.

In one possible design, the method also includes:

According to the user's emotional health index, the recommended breathing duration and recommended breathing frequency are obtained;

A second interface is displayed, and the second interface is used to prompt the user to perform breathing training for the recommended breathing duration according to the recommended breathing frequency.

As a result, the electronic device can recommend personalized breathing training programs to the user based on the user's emotional health index.

In one possible design, the method also includes:

Display the first control in the second interface;

In response to the operation on the first control, the second curve is drawn suspended on the first curve. The first curve is obtained based on the recommended breathing duration and recommended breathing frequency, and the second curve is obtained based on the user's real-time breathing frequency.

Thus, the electronic device intuitively displays the difference between the first curve and the second curve, guiding the user to maintain good breathing training.

In one possible design, the method also includes:

When the real-time respiratory frequency is greater than the recommended respiratory frequency, the first information is displayed on the second interface, and the first information is used to prompt the user to slow down his breathing;

Alternatively, when the real-time respiratory frequency is less than the recommended respiratory frequency, the second information is displayed in the second interface, and the second information is used to prompt the user to breathe faster.

As a result, the electronic device can prompt the user in time when the user's breathing is fast or slow, and guide the user to smoothly carry out breathing training.

In one possible design, the method also includes:

In response to the operation on the first control, recording the user's breathing training data;

After the user's breathing training is completed, the user's breathing training results are displayed on the second interface according to the user's breathing training data. The user's breathing training results include: total exhalation time, total inhalation time, real-time breathing frequency, and number of exhalations. , or at least one of the number of inhalations.

As a result, the electronic device can display the user's breathing training results after the user's training is completed to conveniently remind the user.

In one possible design, the method also includes:

In response to the operation on the second control in the second interface or according to the user's breathing training results, the recommended breathing duration and/or the recommended breathing frequency are adjusted, and the first curve is updated.

Therefore, the electronic device can adjust the breathing training program based on the user's wishes or automatically before the user's training starts and/or after the user's training ends, so that the adjusted breathing training program is closer to the user's actual training.

In one possible design, the method also includes:

According to the user's emotional health index, the recommended exercise type and recommended exercise duration are obtained;

A third interface is displayed, and the third interface is used to prompt the user to use the recommended exercise type to perform exercise training for the recommended exercise duration.

As a result, the electronic device can recommend a personalized exercise training plan for the user based on the user's emotional health index.

In one possible design, the method also includes:

Display the third control in the third interface;

In response to the operation on the third control, record the user's sports training data;

After the user's exercise training is completed, the user's exercise execution status is displayed in the third interface according to the user's exercise training data.

Therefore, after the user's exercise training is completed, the electronic device can display the user's exercise execution status to conveniently remind the user.

In one possible design, the method also includes:

Display the fourth control in the third interface;

In response to the operation on the fourth control, the recommended exercise type and/or the recommended exercise duration is adjusted.

Therefore, the electronic device can adjust the exercise training plan based on the user's wishes or automatically before the user starts exercising and/or after the user ends the exercise, so that the adjusted exercise training plan is closer to the user's actual training.

In a second aspect, this application provides an emotional health analysis device, which includes: a module for implementing the emotional health state analysis method in the first aspect and any possible design of the first aspect.

In a third aspect, this application provides an electronic device, including: a memory and a processor; the memory is used to store program instructions; the processor is used to call the program instructions in the memory so that the electronic device executes the first aspect and any possibility of the first aspect. Emotional health state analysis method in the design.

In a fourth aspect, the present application provides a chip system, which is applied to an electronic device including a memory, a display screen, and a sensor; the chip system includes: a processor; when the processor executes the computer instructions stored in the memory, the electronic device implements the first Emotional health state analysis method in one aspect and any possible design of the first aspect.

In a fifth aspect, the present application provides a computer-readable storage medium on which a computer program is stored. The computer program is executed by a processor so that when the electronic device is executed, the emotional health in the first aspect and any possible design of the first aspect can be realized. State analysis methods.

In a sixth aspect, the present application provides a computer program product, including: execution instructions. The execution instructions are stored in a readable storage medium. At least one processor of the electronic device can read the execution instructions from the readable storage medium. The at least one processor Executing the execution instructions enables the electronic device to implement the emotional health state analysis method in the first aspect and any possible design of the first aspect.

Description of the drawings

Figure 1 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

Figure 2 is a software structure block diagram of an electronic device provided by an embodiment of the present application;

Figure 3 is a schematic flowchart of an emotional health state analysis method provided by an embodiment of the present application;

Figures 4A-4C are schematic diagrams of the human-computer interaction interface provided by an embodiment of the present application;

Figure 5 is a schematic diagram of a human-computer interaction interface provided by an embodiment of the present application;

Figures 6A-6F are schematic diagrams of the human-computer interaction interface provided by an embodiment of the present application;

7A-7B are schematic diagrams of a human-computer interaction interface provided by an embodiment of the present application.

Detailed ways

In this application, "at least one" refers to one or more, and "plurality" refers to two or more. "And/or" describes the association of associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural. The character "/" generally indicates that the related objects are in an "or" relationship. "At least one of the following" or similar expressions thereof refers to any combination of these items, including any combination of a single item (items) or a plurality of items (items). For example, at least one of a alone, b alone, or c alone can mean: a alone, b alone, c alone, a combination of a and b, a combination of a and c, a combination of b and c, or a combination of a, b and c, where a, b, c can be single or multiple. In addition, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance. The terms "center", "longitudinal", "horizontal", "upper", "lower", "left", "right", "front", "back", etc. indicate the orientation or positional relationship based on that shown in the drawings. The orientation or positional relationship is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application.

This application provides an emotional health status analysis method, electronic device, chip system, computer-readable storage medium, and computer program product, which can analyze the user's heartbeat interval data with the help of collected sensor data, and analyze the user's heartbeat interval data based on the user's heartbeat interval data. Obtaining the user's emotional health index can realize non-sensory measurement and analysis of the user's emotional health status, and provide users with digital emotional assistance tools.

Among them, the electronic device may be a wearable device, such as a watch, a bracelet, a head-mounted device (such as an augmented reality (AR) device, a virtual reality (VR) device, wearable glasses, headphones), etc.

In addition, electronic devices can also communicate with wearable devices using methods such as Bluetooth, mobile hotspots, and other short-range communications. Electronic devices can be mobile phones, other wearable devices, tablets, laptops, vehicle-mounted devices, and super mobile devices. Personal computers (ultra-mobile personal computers, UMPCs), netbooks, personal digital assistants (personal digital assistants, PDAs), smart TVs, smart screens, high-definition TVs, 4K TVs, smart speakers, smart projectors and other equipment, this application applies to electronic The specific type of equipment is not limited.

Taking the electronic device as a mobile phone as an example, the following describes the electronic device involved in this application with reference to Figure 1 .

FIG. 1 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As shown in Figure 1, the electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, and a battery 142. Antenna 1, antenna 2, mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193, Display 194, and subscriber identification module (subscriber identification module, SIM) card interface 195, etc. The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light. Sensor 180L, bone conduction sensor 180M, etc.

It can be understood that the structure illustrated in this application does not constitute a specific limitation on the electronic device 100 . In other embodiments, the electronic device 100 may include more or fewer components than illustrated, some components may be combined, some components may be separated, or components may be arranged differently. The components illustrated may be implemented in hardware, software, or a combination of software and hardware.

The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processing unit (GPU), an image signal processor ( image signal processor (ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU), etc. . Among them, different processing units can be independent devices or integrated in one or more processors.

The controller may be the nerve center and command center of the electronic device 100 . The controller can generate operation control signals based on the instruction operation code and timing signals to complete the control of fetching and executing instructions.

The processor 110 may also be provided with a memory for storing instructions and data. In some embodiments, the memory in processor 110 is cache memory. This memory may hold instructions or data that have been recently used or recycled by processor 110 . If the processor 110 needs to use the instructions or data again, it can be called directly from the memory. Repeated access is avoided and the waiting time of the processor 110 is reduced, thus improving the efficiency of the system.

In some embodiments, processor 110 may include one or more interfaces. The interface may include an integrated circuit (inter-integrated circuit, I2C) interface, an integrated circuit built-in audio (inter-integrated circuitsound, I2S) interface, a pulse code modulation (PCM) interface, and a universal asynchronous receiver (universal asynchronous receiver) /transmitter, UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (subscriber identity module, SIM) interface, and/or Universal serial bus (USB) interface, etc.

The I2C interface is a bidirectional synchronous serial bus, including a serial data line (SDA) and a serial clock line (derail clock line, SCL). In some embodiments, processor 110 may include multiple sets of I2C buses. The processor 110 can separately couple the touch sensor 180K, charger, flash, camera 193, etc. through different I2C bus interfaces. For example, the processor 110 can be coupled to the touch sensor 180K through an I2C interface, so that the processor 110 and the touch sensor 180K communicate through the I2C bus interface to implement the touch function of the electronic device 100 .

The I2S interface can be used for audio communication. In some embodiments, processor 110 may include multiple sets of I2S buses. The processor 110 can be coupled with the audio module 170 through the I2S bus to implement communication between the processor 110 and the audio module 170 . In some embodiments, the audio module 170 can transmit audio signals to the wireless communication module 160 through the I2S interface to implement the function of answering calls through a Bluetooth headset.

The PCM interface can also be used for audio communications to sample, quantize and encode analog signals. In some embodiments, the audio module 170 and the wireless communication module 160 may be coupled through a PCM bus interface. In some embodiments, the audio module 170 can also transmit audio signals to the wireless communication module 160 through the PCM interface to implement the function of answering calls through a Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.

The UART interface is a universal serial data bus used for asynchronous communication. The bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, a UART interface is generally used to connect the processor 110 and the wireless communication module 160 . For example, the processor 110 communicates with the Bluetooth module in the wireless communication module 160 through the UART interface to implement the Bluetooth function. In some embodiments, the audio module 170 can transmit audio signals to the wireless communication module 160 through the UART interface to implement the function of playing music through a Bluetooth headset.

The MIPI interface can be used to connect the processor 110 with peripheral devices such as the display screen 194 and the camera 193 . MIPI interfaces include camera serial interface (CSI), display serial interface (displayserial interface, DSI), etc. In some embodiments, the processor 110 and the camera 193 communicate through the CSI interface to implement the shooting function of the electronic device 100 . The processor 110 and the display screen 194 communicate through the DSI interface to implement the display function of the electronic device 100 .

The GPIO interface can be configured through software. The GPIO interface can be configured as a control signal or as a data signal. In some embodiments, the GPIO interface can be used to connect the processor 110 with the camera 193, display screen 194, wireless communication module 160, audio module 170, sensor module 180, etc. The GPIO interface can also be configured as an I2C interface, I2S interface, UART interface, MIPI interface, etc.

The USB interface 130 is an interface that complies with USB standard specifications, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, etc. The USB interface 130 can be used to connect a charger to charge the electronic device 100, and can also be used to transmit data between the electronic device 100 and peripheral devices. It can also be used to connect headphones to play audio through them. This interface can also be used to connect other devices, such as AR devices, etc.

It can be understood that the interface connection relationships between the modules illustrated in this application are only schematic illustrations and do not constitute a structural limitation of the electronic device 100 . In other embodiments, the electronic device 100 may also adopt different interface connection methods in the above embodiments, or a combination of multiple interface connection methods.

The charging management module 140 is used to receive charging input from the charger. Among them, the charger can be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 140 may receive charging input from the wired charger through the USB interface 130 . In some wireless charging embodiments, the charging management module 140 may receive wireless charging input through the wireless charging coil of the electronic device 100 . While the charging management module 140 charges the battery 142, it can also provide power to the electronic device through the power management module 141.

The power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110. The power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, internal memory 121, external memory, display screen 194, camera 193, wireless communication module 160, etc. The power management module 141 can also be used to monitor battery capacity, battery cycle times, battery health status (leakage, impedance) and other parameters. In some other embodiments, the power management module 141 may also be provided in the processor 110 . In other embodiments, the power management module 141 and the charging management module 140 may also be provided in the same device.

The wireless communication function of the electronic device 100 can be implemented through the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor.

Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example: Antenna 1 can be reused as a diversity antenna for a wireless LAN. In other embodiments, antennas may be used in conjunction with tuning switches.

The mobile communication module 150 can provide solutions for wireless communication including 2G/3G/4G/5G applied on the electronic device 100 . The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc. The mobile communication module 150 can receive electromagnetic waves through the antenna 1, perform filtering, amplification and other processing on the received electromagnetic waves, and transmit them to the modem processor for demodulation. The mobile communication module 150 can also amplify the signal modulated by the modem processor and convert it into electromagnetic waves through the antenna 1 for radiation. In some embodiments, at least part of the functional modules of the mobile communication module 150 may be disposed in the processor 110 . In some embodiments, at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be provided in the same device.

A modem processor may include a modulator and a demodulator. Among them, the modulator is used to modulate the low-frequency baseband signal to be sent into a medium-high frequency signal. The demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing. After the low-frequency baseband signal is processed by the baseband processor, it is passed to the application processor. The application processor outputs sound signals through audio devices (not limited to speaker 170A, receiver 170B, etc.), or displays images or videos through display screen 194. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be independent of the processor 110 and may be provided in the same device as the mobile communication module 150 or other functional modules.

The wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) network), Bluetooth (bluetooth, BT), and global navigation satellite system. (global navigation satellite system, GNSS), frequency modulation (FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR) and other wireless communication solutions. The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 . The wireless communication module 160 can also receive the signal to be sent from the processor 110, frequency modulate it, amplify it, and convert it into electromagnetic waves through the antenna 2 for radiation.

In some embodiments, the antenna 1 of the electronic device 100 is coupled to the mobile communication module 150, and the antenna 2 is coupled to the wireless communication module 160, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology. The wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (codedivision multiple access, CDMA), broadband code Wideband code division multiple access (WCDMA), time-division code division multiple access (TD-SCDMA), long term evolution (LTE), BT, GNSS, WLAN, NFC, FM , and/or IR technology, etc. The GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou satellite navigation system (beidounavigation satellite system, BDS), quasi-zenith satellite system (quasi- zenith satellitesystem (QZSS) and/or satellite based augmentation systems (SBAS).

The electronic device 100 implements display functions through a GPU, a display screen 194, an application processor, and the like. The GPU is an image processing microprocessor and is connected to the display screen 194 and the application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.

The display screen 194 is used to display images, videos, etc. Display 194 includes a display panel. The display panel can use a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active matrix organic light emitting diode or an active matrix organic light emitting diode (active-matrix organic light emitting diode). (AMOLED), flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diodes (QLED), etc. In some embodiments, the electronic device 100 may include 1 or N display screens 194, where N is a positive integer greater than 1.

The electronic device 100 can implement the shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process the data fed back by the camera 193. For example, when taking a photo, the shutter is opened, the light is transmitted to the camera sensor through the lens, the optical signal is converted into an electrical signal, and the camera sensor passes the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can also perform algorithm optimization on image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be provided in the camera 193.

Camera 193 is used to capture still images or video. The object passes through the lens to produce an optical image that is projected onto the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, and then passes the electrical signal to the ISP to convert it into a digital image signal. ISP outputs digital image signals to DSP for processing. DSP converts digital image signals into standard RGB, YUV and other format image signals. In some embodiments, the electronic device 100 may include 1 or N cameras 193, where N is a positive integer greater than 1.

Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the electronic device 100 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy.

Video codecs are used to compress or decompress digital video. Electronic device 100 may support one or more video codecs. In this way, the electronic device 100 can play or record videos in multiple encoding formats, such as moving picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, etc.

NPU is a neural network (NN) computing processor. By drawing on the structure of biological neural networks, such as the transmission mode between neurons in the human brain, it can quickly process input information and can continuously learn by itself. Intelligent cognitive applications of the electronic device 100 can be implemented through the NPU, such as image recognition, face recognition, speech recognition, text understanding, etc.

The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100 . The external memory card communicates with the processor 110 through the external memory interface 120 to implement the data storage function. Such as saving music, videos, etc. files in external memory card.

Internal memory 121 may be used to store computer executable program code, which includes instructions. The processor 110 executes instructions stored in the internal memory 121 to execute various functional applications and data processing of the electronic device 100 . The internal memory 121 may include a program storage area and a data storage area. Among them, the stored program area can store an operating system, at least one application program required for a function (such as a sound playback function, an image playback function, etc.). The storage data area may store data created during use of the electronic device 100 (such as audio data, phone book, etc.). In addition, the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, universal flash storage (UFS), etc.

The electronic device 100 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D, and the application processor. Such as music playback, recording, etc.

The audio module 170 is used to convert digital audio information into analog audio signal output, and is also used to convert analog audio input into digital audio signals. Audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be provided in the processor 110 , or some functional modules of the audio module 170 may be provided in the processor 110 .

Speaker 170A, also called "speaker", is used to convert audio electrical signals into sound signals. The electronic device 100 can listen to music through the speaker 170A, or listen to hands-free calls.

Receiver 170B, also called "earpiece", is used to convert audio electrical signals into sound signals. When the electronic device 100 answers a call or a voice message, the voice can be heard by bringing the receiver 170B close to the human ear.

Microphone 170C, also called "microphone" or "microphone", is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can speak close to the microphone 170C with the human mouth and input the sound signal to the microphone 170C. The electronic device 100 may be provided with at least one microphone 170C. In other embodiments, the electronic device 100 may be provided with two microphones 170C, which in addition to collecting sound signals, may also implement a noise reduction function. In other embodiments, the electronic device 100 can also be provided with three, four or more microphones 170C to collect sound signals, reduce noise, identify sound sources, and implement directional recording functions, etc.

The headphone interface 170D is used to connect wired headphones. The headphone interface 170D may be a USB interface 130, or may be a 3.5 mm open mobile terminal platform (OMTP) standard interface or a Cellular Telecommunications Industry Association of the USA (CTIA) standard interface.

The pressure sensor 180A is used to sense pressure signals and can convert the pressure signals into electrical signals. In some embodiments, pressure sensor 180A may be disposed on display screen 194 . There are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, etc. A capacitive pressure sensor may include at least two parallel plates of conductive material. When a force is applied to pressure sensor 180A, the capacitance between the electrodes changes. The electronic device 100 determines the intensity of the pressure based on the change in capacitance. When a touch operation is performed on the display screen 194, the electronic device 100 detects the intensity of the touch operation according to the pressure sensor 180A. The electronic device 100 may also calculate the touched position based on the detection signal of the pressure sensor 180A. In some embodiments, touch operations acting on the same touch location but with different touch operation intensities may correspond to different operation instructions. For example: when a touch operation with a touch operation intensity less than the first pressure threshold is applied to the short message application icon, an instruction to view the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold is applied to the short message application icon, an instruction to create a new short message is executed.

The gyro sensor 180B may be used to determine the motion posture of the electronic device 100 . In some embodiments, the angular velocity of electronic device 100 about three axes (ie, x, y, and z axes) may be determined by gyro sensor 180B. The gyro sensor 180B can be used for image stabilization. For example, when the shutter is pressed, the gyro sensor 180B detects the angle at which the electronic device 100 shakes, calculates the distance that the lens module needs to compensate based on the angle, and allows the lens to offset the shake of the electronic device 100 through reverse movement to achieve anti-shake. The gyro sensor 180B can also be used for navigation and somatosensory game scenes.

Air pressure sensor 180C is used to measure air pressure. In some embodiments, the electronic device 100 calculates the altitude through the air pressure value measured by the air pressure sensor 180C to assist positioning and navigation.

Magnetic sensor 180D includes a Hall sensor. The electronic device 100 may utilize the magnetic sensor 180D to detect opening and closing of the flip holster. In some embodiments, when the electronic device 100 is a flip machine, the electronic device 100 may detect the opening and closing of the flip according to the magnetic sensor 180D. Then, based on the detected opening and closing status of the leather case or the opening and closing status of the flip cover, features such as automatic unlocking of the flip cover are set.

The acceleration sensor 180E can detect the acceleration of the electronic device 100 in various directions (generally three axes). When the electronic device 100 is stationary, the magnitude and direction of gravity can be detected. It can also be used to identify the posture of electronic devices and be used in horizontal and vertical screen switching, pedometer and other applications.

Distance sensor 180F for measuring distance. Electronic device 100 can measure distance via infrared or laser. In some embodiments, when shooting a scene, the electronic device 100 may utilize the distance sensor 180F to measure distance to achieve fast focusing.

Proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The electronic device 100 emits infrared light outwardly through the light emitting diode. Electronic device 100 uses photodiodes to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 100 . When insufficient reflected light is detected, the electronic device 100 may determine that there is no object near the electronic device 100 . The electronic device 100 can use the proximity light sensor 180G to detect when the user holds the electronic device 100 close to the ear for talking, so as to automatically turn off the screen to save power. The proximity light sensor 180G can also be used in holster mode, and pocket mode automatically unlocks and locks the screen.

The ambient light sensor 180L is used to sense ambient light brightness. The electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the perceived ambient light brightness. The ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in the pocket to prevent accidental touching.

Fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to achieve fingerprint unlocking, access to application locks, fingerprint photography, fingerprint answering of incoming calls, etc.

Temperature sensor 180J is used to detect temperature. In some embodiments, the electronic device 100 utilizes the temperature detected by the temperature sensor 180J to execute the temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the electronic device 100 reduces the performance of a processor located near the temperature sensor 180J in order to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the electronic device 100 heats the battery 142 to prevent the low temperature from causing the electronic device 100 to shut down abnormally. In some other embodiments, when the temperature is lower than another threshold, the electronic device 100 performs boosting on the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature.

Touch sensor 180K, also called "touch panel". The touch sensor 180K can be disposed on the display screen 194. The touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen". The touch sensor 180K is used to detect a touch operation on or near the touch sensor 180K. The touch sensor can pass the detected touch operation to the application processor to determine the touch event type. Visual output related to the touch operation may be provided through display screen 194 . In other embodiments, the touch sensor 180K may also be disposed on the surface of the electronic device 100 at a location different from that of the display screen 194 .

Bone conduction sensor 180M can acquire vibration signals. In some embodiments, the bone conduction sensor 180M can acquire the vibration signal of the vibrating bone mass of the human body's vocal part. The bone conduction sensor 180M can also contact the human body's pulse and receive blood pressure beating signals. In some embodiments, the bone conduction sensor 180M can also be provided in an earphone and combined into a bone conduction earphone. The audio module 170 can analyze the voice signal based on the vibration signal of the vocal vibrating bone obtained by the bone conduction sensor 180M to implement the voice function. The application processor can analyze the heart rate information based on the blood pressure beating signal acquired by the bone conduction sensor 180M to implement the heart rate detection function.

The buttons 190 include a power button, a volume button, etc. Key 190 may be a mechanical key. It can also be a touch button. The electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100 .

The motor 191 can generate vibration prompts. The motor 191 can be used for vibration prompts for incoming calls and can also be used for touch vibration feedback. For example, touch operations for different applications (such as taking pictures, audio playback, etc.) can correspond to different vibration feedback effects. The motor 191 can also respond to different vibration feedback effects for touch operations in different areas of the display screen 194 . Different application scenarios (such as time reminders, receiving information, alarm clocks, games, etc.) can also correspond to different vibration feedback effects. The touch vibration feedback effect can also be customized.

The indicator 192 may be an indicator light, which may be used to indicate charging status, power changes, or may be used to indicate messages, missed calls, notifications, etc.

The SIM card interface 195 is used to connect a SIM card. The SIM card can be connected to or separated from the electronic device 100 by inserting it into the SIM card interface 195 or pulling it out from the SIM card interface 195 . The electronic device 100 may support 1 or N SIM card interfaces, where N is a positive integer greater than 1. SIM card interface 195 can support Nano SIM card, Micro SIM card, SIM card, etc. Multiple cards can be inserted into the same SIM card interface 195 at the same time. The types of the plurality of cards may be the same or different. The SIM card interface 195 is also compatible with different types of SIM cards. The SIM card interface 195 is also compatible with external memory cards. The electronic device 100 interacts with the network through the SIM card to implement functions such as calls and data communications. In some embodiments, the electronic device 100 uses an eSIM, that is, an embedded SIM card. The eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100 .

The software system of the electronic device 100 may adopt a layered architecture, an event-driven architecture, a microkernel architecture, a microservice architecture, or a cloud architecture. This application takes the Android system with a layered architecture as an example to illustrate the software structure of the electronic device 100 . Among them, this application does not limit the type of operating system of the electronic device. For example, Android system, Linux system, Windows system, iOS system, Harmony operating system (harmony operating system, Hongmeng OS), etc.

Figure 2 is a software structure block diagram of an electronic device provided by an embodiment of the present application. As shown in Figure 2, the layered architecture divides the software into several layers, and each layer has clear roles and division of labor. The layers communicate through software interfaces. In some embodiments, the Android system is divided into four layers, from top to bottom: application layer (APP), application framework layer (APP framework), Android runtime (Android runtime) and system libraries (libraries). And the kernel layer.

The application layer can include a series of application packages.

As shown in Figure 2, the application package can include camera, gallery, calendar, call, map, navigation, WLAN, Bluetooth, music, video, game, chat, shopping, travel, instant messaging (such as short message), smart home, Device control and other applications (application, APP).

Among them, smart home applications can be used to control or manage home devices with networking capabilities. For example, home appliances may include lights, televisions, and air conditioners. As another example, home equipment can also include anti-theft door locks, speakers, sweeping robots, sockets, body fat scales, desk lamps, air purifiers, refrigerators, washing machines, water heaters, microwave ovens, rice cookers, curtains, fans, TVs, set-top boxes, Doors, windows, etc.

In addition, the application package can also include: desktop (i.e. home screen), negative screen, control center, notification center and other applications.

Among them, negative one screen, also known as "-1 screen", refers to sliding the screen to the right on the home screen of the electronic device until it slides to the leftmost split-screen user interface (UI). For example, the negative screen can be used to place some quick service functions and notification messages, such as global search, quick entry to a certain page of the application (payment code, WeChat, etc.), instant information and reminders (express delivery information, expenditure information, commute traffic conditions, etc.) , taxi travel information, schedule information, etc.) and follow updates (football stands, basketball stands, stock information, etc.), etc. The control center is the slide-up message notification bar of the electronic device, that is, the user interface displayed by the electronic device when the user starts to slide upward on the bottom of the electronic device. The notification center is the drop-down message notification bar of the electronic device, that is, the user interface displayed by the electronic device when the user starts to perform downward operations on the top of the electronic device.

The application framework layer provides an application programming interface (API) and programming framework for applications in the application layer. The application framework layer includes some predefined functions.

As shown in Figure 2, the application framework layer can include a window manager, content provider, view system, phone manager, resource manager, notification manager, etc.

The window manager is used to manage window programs, such as managing window status, attributes, view addition, deletion, update, window order, message collection and processing, etc. The window manager can obtain the display size, determine whether there is a status bar, lock the screen, capture the screen, etc. Moreover, the window manager is the entrance for the outside world to access the window.

Content providers are used to store and retrieve data and make this data accessible to applications. Said data can include videos, images, audio, calls made and received, browsing history and bookmarks, phone books, etc.

The view system includes visual controls, such as controls that display text, controls that display pictures, etc. A view system can be used to build applications. The display interface can be composed of one or more views. For example, a display interface including a text message notification icon may include a view for displaying text and a view for displaying pictures.

The phone manager is used to provide communication functions of the electronic device 100 . For example, call status management (including connected, hung up, etc.).

The resource manager provides various resources for applications, such as localized strings, icons, pictures, user interface layout files (layout xml), video files, fonts, colors, user interface components (user interface module, UI) component)’s identity document (ID) (also known as serial number or account number), etc. Furthermore, the resource manager is used to uniformly manage the aforementioned resources.

The notification manager allows the application to display notification information in the status bar, which can be used to convey notification-type messages. It can automatically disappear after a short stay without user interaction. For example, the notification manager is used to notify download completion, message reminders, etc. The notification manager can also be notifications that appear in the status bar at the top of the system in the form of charts or scroll bar text, such as notifications for applications running in the background, or notifications that appear on the screen in the form of conversation windows. For example, text information is prompted in the status bar, a beep sounds, the electronic device vibrates, the indicator light flashes, etc.

The Android runtime includes core libraries and a virtual machine. The Android runtime is responsible for the scheduling and management of the Android system.

The core library contains two parts: one part is the functional functions that need to be called by the Java language, and the other part is the core library of the Android system.

The application layer and application framework layer run in virtual machines. The virtual machine executes the java files of the application layer and application framework layer into binary files. The virtual machine is used to perform object life cycle management, stack management, thread management, security and exception management, and garbage collection and other functions.

System libraries can include multiple functional modules. For example: surface manager (surface manager), media libraries (media libraries), 3D graphics processing libraries (for example: OpenGLES), 2D graphics engines (for example: SGL), image processing libraries and desktop launchers (launcher), etc.

The surface manager is used to manage the display subsystem and provides the fusion of 2D and 3D layers for multiple applications.

The media library supports playback and recording of a variety of commonly used audio and video formats, as well as static image files, etc. The media library can support a variety of audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.

The 3D graphics processing library is used to implement 3D graphics drawing, image rendering, composition and layer processing.

2D Graphics Engine is a drawing engine for 2D drawing.

The kernel layer is the layer between hardware and software. The kernel layer contains at least display driver, camera driver, audio driver, and sensor driver.

The following exemplifies the workflow of the software and hardware of the electronic device 100 in conjunction with the scenario of using a smart speaker to play sound.

When the touch sensor 180K receives a touch operation, the corresponding hardware interrupt is sent to the kernel layer. The kernel layer processes touch operations into raw input events (including touch coordinates, timestamps of touch operations, and other information). Raw input events are stored in the kernel layer. The application framework layer obtains the original input event from the kernel layer and identifies the control corresponding to the input event. Taking the touch operation as a touch click operation and the control corresponding to the click operation as a smart speaker icon control as an example, the smart speaker application calls the interface of the application framework layer to start the smart speaker application, and then starts the audio driver by calling the kernel layer. , converting the audio electrical signal into a sound signal through the speaker 170A.

It can be understood that the structure illustrated in this application does not constitute a specific limitation on the electronic device 100 . In other embodiments, the electronic device 100 may include more or fewer components than illustrated, some components may be combined, some components may be separated, or components may be arranged differently. The components illustrated may be implemented in hardware, software, or a combination of software and hardware.

Based on the foregoing description, the following embodiments of this application will take the electronic device with the structure shown in Figure 1 and Figure 2 as an example, and combine the drawings and application scenarios to elaborate on the emotional health state analysis method provided by this application.

For ease of explanation, in this application, the communication connection between an electronic device and a wearable device is taken as an example for illustration.

Please refer to FIG. 3 , which shows a schematic flowchart of an emotional health state analysis method provided by an embodiment of the present application. As shown in Figure 3, the emotional health state analysis method of this application may include:

S101. Obtain the sensor data of the user during the predetermined period of time.

Users can wear wearable devices on their wrists, abdomen, legs, etc. Therefore, while the user is sleeping for a predetermined period of time, the wearable device can collect the PPG signal of a photoplethysmography (PPG) sensor in the wearable device in real time.

Among them, PPG is a non-invasive detection method that uses photoelectric means to detect blood volume changes in living tissues. When a light beam of a certain wavelength strikes the user's skin surface, the light beam will be transmitted to the light sensor through transmission or reflection. During this process, the blood volume in the blood vessels fluctuates due to the contraction and relaxation of the heart. Therefore, during diastole, the peripheral vascular volume of the heart decreases, and the light intensity detected by the light sensor is greater. When the heart contracts, the peripheral blood volume of the heart increases, and the light intensity detected by the light sensor is smaller. Therefore, the light intensity detected by the light sensor changes pulsatingly, and this light intensity change signal can be converted into Electrical signal, namely PPG signal.

Based on the above description, the PPG signal can represent the user's physiological characteristic information such as blood pressure, blood oxygen, brain oxygen, blood sugar, pulse rate, blood oxygen saturation, heart rate, and respiratory rate. Therefore, the wearable device can send the PPG signal as sensor data to the electronic device. Alternatively, the wearable device can perform processing such as separation and filtering on the PPG signal, obtain sensor data, and send the sensor data to the electronic device.

Therefore, with the help of the wearable device, the electronic device can obtain the sensor data of the user during the predetermined period of sleep, so that the electronic device can obtain the user's physiological characteristic information through the sensor data.

Among them, this application does not limit the specific implementation method of the predetermined time period. In some embodiments, the predetermined time period can usually be set to a period when the user rests and sleeps, such as at night or during the day.

S102. Obtain the user's heartbeat interval data based on the sensor data.

Among them, the heartbeat interval data is RR interval (RRI) data. RRI data can be used to characterize indicators related to the user's emotional health state. RRI data includes data related to RRI. RRI refers to the time (or duration) between two P waves in the PPG signal. In the PPG signal, the P wave is the main peak, and the P wave is the maximum amplitude wave caused when the ventricle releases maximum blood during cardiac contraction. The time (or duration) elapsed from this main wave peak to the next main wave peak can be called RRI.

Usually, the normal RRI is between 0.6 seconds and 1.0 seconds. If it is less than 0.6 seconds, it means the heartbeat is too fast; if it is greater than 1.0 seconds, it means the heartbeat is too slow. In addition, when the RRI intervals are unequal, it indicates an irregular heartbeat.

Therefore, the electronic device can analyze the user's physiological characteristic information indicated by the sensor data and obtain the user's RRI data.

S103. Obtain the user's emotional health index according to the user's heartbeat interval data. The user's emotional health index is used to represent the user's emotional health state.

Based on the description of S102, the user's heartbeat interval data can represent indicators related to the user's emotional health state. Therefore, the electronic device can obtain the user's emotional health index based on the user's heartbeat interval data.

Among them, the user's emotional health index is used to represent the user's emotional health state. Generally speaking, the higher the emotional health index, the better the emotional health state.

Taking depression as an example, if the user's emotional health index is high, it means that the user's emotional health state may be mild depression. If the user's emotional health index is moderate, it indicates that the user's emotional health state may be moderate depression. If the user's emotional health index is low, it indicates that the user's emotional health state may be severe depression.

In addition, electronic devices can also record the user's emotional health index in a single time, a period of time, periodically, continuously, etc., and according to time dimensions such as day, week, month, year, etc. The electronic device can display the user's emotional health index in the first interface. Therefore, it is convenient to provide timely feedback to the user's daily emotional health status, and it is also conducive to statistics on the changing trend of the user's emotional health status within a period of time.

Among them, this application does not limit the specific implementation method of the first interface. In some embodiments, the first interface may be at least one of a user interface of an application installed in the electronic device, a web page displayed in the electronic device, or a page of a public account displayed in the electronic device.

For example, the first interface may be a user interface of the Huawei Innovation Research application in the electronic device.

For example, if the electronic device is a mobile phone and the mobile phone is connected to a watch, after the user wears the watch to sleep for a night, the user can view his/her emotional health index in the mobile phone application the next day, making it easier to know. own emotional health.

After the user wears the watch to sleep for many nights, the user can also view his/her emotional health index and corresponding changes in the mobile phone application during this period, so as to conveniently know his/her emotional health status and corresponding changes. Trend.

The emotional health state analysis method of this application can obtain the user's physiological characteristic information through the sensor data by acquiring the sensor data during the user's sleep during a predetermined time period. Based on the sensor data, the user's heartbeat interval data is obtained, and indicators related to the user's emotional health status can be obtained through the user's heartbeat interval data. According to the user's heartbeat interval data, the user's emotional health index is obtained, and the user's emotional health index is used to represent the user's emotional health state. Therefore, based on the ability to evaluate the user's emotional health state, the sensorless measurement and analysis of the emotional health state is realized, and digital emotional auxiliary tools are provided for the user, allowing the user to obtain a good user experience.

In one possible implementation method in S103, it is found through cohort study that the heart rate variability (heart rate) of users in the deep sleep period and rapid eye movement (REM) period under different emotional health states. variability, HRV, also known as heart rate variability) indicators are significantly different.

Therefore, the electronic device can analyze the user's emotional health index based on the correlation between the HRV index of one or more sleep stages (such as deep sleep period and/or REM period) and the user's emotional health state.

In addition, the predetermined period of time can be regarded as a sleep cycle. The sleep cycle may include multiple sleep stages.

Among them, the deep sleep period refers to a sleep stage that eliminates fatigue.

In other words, during this stage of sleep, the user's brain and body can get complete rest and relaxation, allowing the user's energy and physical strength to be completely restored.

Among them, the REM period is also called the para-sleep period and the fast-phase sleep period. The REM stage refers to a stage of sleep during dreaming and is the lightest stage of sleep among all sleep stages.

In other words, during this stage of sleep, the user is not in deep sleep, and the user's eyeballs will move rapidly involuntarily. The activity of the neurons in the user's brain is the same as when awake. After waking up in the REM period, the user will be alert and full of energy.

Among them, HRV is an electrocardiogram (ECG) examination result. HRV refers to the change in the difference between heartbeat cycles, or the change in heartbeat speed. HRV is determined by the length of time between two adjacent RRIs, that is, the small difference from the first cardiac cycle to the next.

Among them, this application does not limit the specific implementation method of the HRV indicator. For example, HRV indicators may include but are not limited to: low frequency (LF), high frequency (HF), very low frequency (VLF), low frequency normalized value LFnu, high frequency normalized value Normalized value HFnu, normalized value of very low frequency VLFnu, ratio of low frequency to high frequency LF/HF ratio, standard deviation of normal to normal RR intervals (SDNN) of all sinus beats, adjacent sinus beat RR The root-mean square of differences between adjacent normal RR intervals in a time interval (rMSSD), the mean standard deviation of the sinus beat RR intervals in each 5-minute period SDANN, the RR between adjacent sinus beats Percentage of adjacent RR intervals with adifference of duration>50ms, pNN50, mean heart rate mean-HR, triangular index triangular, horizontal axis SD1, vertical axis SD2, or , at least one of the ratios of the horizontal axis and the vertical axis SD1/SD2ratio.

In the process of analyzing the HRV indicator using Poincare-plot, for a continuous heartbeat interval, the i-th heartbeat interval is used as the abscissa, and the (i+1) heartbeat interval is used as the ordinate, and a two-dimensional plane can be drawn. Graph, which can be viewed as an ellipse. i is a positive integer. Among them, the center of the ellipse is located at the coordinate point determined by (average of heartbeat intervals, average of heartbeat intervals), SD1 is the semi-major axis of the ellipse, and SD2 is the semi-minor axis of the ellipse.

Based on the above description, based on the user's RRI data, the electronic device can obtain the indicators related to the user's emotional health state represented by the RRI data, which may include the HRV indicator of the target sleep period, that is, the HRV indicator of the deep sleep period, and/or, HRV indicator during REM period.

The target sleep period may include one or more sleep stages in the sleep cycle. The target sleep period is the deep sleep period, or the REM period, or the deep sleep period or the REM period that the user enters during the predetermined period of sleep.

Therefore, the electronic device can obtain the user's emotional health index based on the HRV index in the deep sleep period and/or the HRV index in the REM period.

In addition, in addition to the correlation between the HRV indicator based on one or more sleep stages and the user's emotional health state, the electronic device can also consider the different sleep fragmentation caused by the user's dreaming in different users' emotional health states. Degree, based on the correlation between the HRV index and fragmentation index of one or more sleep stages and the user's emotional health state, the user's emotional health index is comprehensively obtained.

Among them, the fragmentation degree indicator of a sleep stage is used to represent the sleep fragmentation degree of the sleep stage during the user's sleep process in the predetermined time period. The degree of sleep fragmentation can characterize the persistence (or continuity) of sleep stages. In general, the longer the fragmentation index, the better the emotional health.

Taking depression as an example, the fragmentation index of the deep sleep period is small, and the user's sleep fragmentation degree in the deep sleep period is low, indicating that the user's fragmentation in the deep sleep period is not serious. If the persistence of the deep sleep period is high, the user The emotional health state can range from mild depression.

The fragmentation degree index of the deep sleep period is moderate. The user's sleep fragmentation degree in the deep sleep period is moderate, indicating that the user's fragmentation in the deep sleep period is moderate. The persistence of the deep sleep period is moderate, which indicates that the user's emotional health status can be For moderate depression.

The fragmentation degree index of the deep sleep period is large, and the user's sleep fragmentation degree in the deep sleep period is high, indicating that the user's fragmentation in the deep sleep period is serious. If the deep sleep period is continuous, the user's emotional health state can be severe. of depression.

Based on the above description, the electronic device can also obtain the fragmentation degree index of the target sleep period based on the user's heartbeat interval data, that is, the fragmentation degree index of the deep sleep period, and/or the fragmentation degree index of the REM period.

Therefore, the electronic device can comprehensively obtain the user's emotional health index based on the HRV index and fragmentation index in the deep sleep period, and/or the HRV index and fragmentation index in the REM period.

Based on the above description, the electronic device combines the emotional health state model obtained from expert experience, and can analyze the user's emotion based on the HRV index and fragmentation index of the deep sleep period, and/or the HRV index and fragmentation index of the REM period. health index.

Among them, the emotional health state model is used to indicate the correlation between the emotional health index corresponding to different emotional health states, the HRV index and the fragmentation degree index.

In a feasible implementation method of the emotional health state model, it is assumed that the indicators input to the emotional health state model can include: indicator 1, indicator 2, indicator 3, indicator 4, indicator 5 and indicator 6.

Among them, index 1 is the low-frequency LF in the deep sleep period, index 2 is the low-frequency LF in the REM period, index 3 is the root mean square rmSSD of the RR interval difference between adjacent sinus beats in the deep sleep period, and index 4 is the phase difference in the REM period. The root mean square rmSSD of the RR interval difference between adjacent sinus beats, index 5 is the fragmentation degree index of the deep sleep period, and index 6 is the fragmentation degree index of the REM period.

Then, the user's emotional health index output by the emotional health state model can be equal to a1*index 1+a2*index 2+a3*index 3+a4*index 4+a5*index 5+a6*index 6.

Among them, a1, a2, a3, a4, a5 and a6 are the weights of their corresponding indicators, and a1, a2, a3, a4, a5 and a6 are all natural numbers greater than or equal to 0 and less than or equal to 1, a1+a2+a3 +a4+a5+a6=1.

In some embodiments, an emotional health state model may be stored in the electronic device.

Therefore, the electronic device can input the HRV index and fragmentation degree index of the deep sleep period, and/or the HRV index and fragmentation degree index of the REM period into the emotional health state model, and output the user's emotional health index.

In other embodiments, the electronic device may recall emotional health state models stored in other devices.

Therefore, the electronic device can send the HRV indicator and the fragmentation degree indicator of the deep sleep period, and/or the HRV indicator and the fragmentation degree indicator of the REM period to other devices. Other devices can input the HRV index and fragmentation index of the deep sleep period, and/or the HRV index and fragmentation index of the REM period into the emotional health state model, and output the user's emotional health index. Other devices can send a user's emotional health index to the electronic device.

Among them, other devices may be other electronic devices or servers and other devices. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, and middleware. Cloud servers for basic cloud computing services such as software services, domain name services, security services, content delivery network (CDN), and big data and artificial intelligence platforms.

In addition, electronic devices can also record the user's emotional health index in a single time, a period of time, periodically, continuously, etc., and can display the user's emotional health index to the user according to the time dimension, achieving non-sensory recording and display of emotional health status. .

In some embodiments, the electronic device may determine the user's emotional health index based on the value of the low-frequency LF of the target sleep period and the fragmentation degree indicator of the target sleep period.

Therefore, the electronic device can display the user's emotional health index in the first interface according to the time dimension, and introduce to the user the changes in the value of the low-frequency LF of the target sleep period and the degree of sleep fragmentation of the target sleep period. The emotional health index changes, allowing users to know the severity and reasons of their own emotional health status.

Taking depression as an example, if the low-frequency LF value of the target sleep period is small, the fragmentation index of the target sleep period is small, and the sleep fragmentation degree of the target sleep period is low, it indicates that the user's emotional health state can be mild depression. disease.

If the value of the low-frequency LF in the target sleep period is moderate, and the degree of sleep fragmentation in the target sleep period is moderate, it indicates that the user's emotional health state may be moderate depression.

If the low-frequency LF value of the target sleep period is large, the fragmentation index of the target sleep period is large, and the sleep fragmentation degree of the target sleep period is high, it indicates that the user's emotional health state may be severe depression.

Next, with reference to FIGS. 4A to 4C , an example is given in which the electronic device can display the user's emotional health index in the first interface according to the time dimension.

Please refer to Figures 4A-4C. Figures 4A-4C are schematic diagrams of a human-computer interaction interface provided by an embodiment of the present application. For ease of explanation, in FIGS. 4A to 4C , the electronic device is a mobile phone as an example.

The electronic device may display the user interface 10 as exemplarily shown in any one of FIGS. 4A-4C.

The user interface 10 is the first interface mentioned in this application. The user interface 10 is used to display the user's emotional health index and the user's emotional health state in a time dimension.

In Figures 4A and 4B, the user interface 10 displays the user's emotional health index for each day of the week, the user's emotional health state, its reasons, and the ratio between different emotional health states during the week. The reasons are It can be represented by parameters such as the value of the low-frequency LF of the target sleep period and the fragmentation degree index of the target sleep period.

In FIG. 4C , the user interface 10 displays the number of days of each emotional health state of the user in each month of the year, the ratio between different emotional health states, and the like.

In FIG. 4A, the user interface 10 may include: a control 101. The control 101 is used to display a decrease in the user's emotional health index and the reasons for the decrease in the user's emotional health index. Among them, the above reasons may include an increase in the value of low-frequency LF in the deep sleep period and an increase in the degree of sleep fragmentation in the deep sleep period.

In FIG. 4B , the user interface 10 may include: a control 102 . The control 102 is used to display a significant increase in the user's emotional health index and the reasons for the significant increase in the user's emotional health index. Among them, the above reasons may include a decrease in the value of low-frequency LF in the deep sleep period and a decrease in the degree of sleep fragmentation in the deep sleep period.

It can be seen that electronic devices can provide the user with the user's emotional health status, and can also introduce to the user the reasons for changes in the user's emotional health index.

It should be understood that this application includes but is not limited to the above-mentioned implementation of displaying the user's emotional health state to the user.

Based on the above description, the electronic device can also recommend a personalized breathing training program to the user based on the user's emotional health index. In some embodiments, the electronic device can obtain recommended breathing duration and recommended breathing frequency based on the user's emotional health index.

Among them, the recommended breathing time can be 1 minute, 2 minutes, 3 minutes, 5 minutes, 10 minutes, etc. The recommended respiratory rate can be 6 times per minute, 8 times per minute, 10 times per minute, etc.

Therefore, the electronic device can provide breathing training suggestions of different durations and/or different frequencies for users with different emotional health states.

Before the user's breathing training begins, the electronic device can display the breathing training program and remind the user to perform appropriate breathing training.

During the user's breathing training process, the electronic device, combined with the user's breathing training data in the actual process, can interactively guide the user to perform appropriate breathing training, and count and record the user's breathing training indicators.

After the user's breathing training is completed, the electronic device can also adaptively adjust the user's breathing training program so that the user can perform appropriate breathing training in the future.

Next, with reference to Figures 5 and 6A-6F, the specific implementation process of the electronic device recommending a breathing training program to the user is introduced in detail.

Please refer to FIG. 5 and FIG. 6A-FIG. 6F. FIG. 5 and FIG. 6A-FIG. 6F show a schematic diagram of a human-computer interaction interface provided by an embodiment of the present application. For ease of explanation, in FIG. 5 and FIG. 6A-FIG. 6F, the electronic device is a mobile phone as an example for illustration.

The electronic device may display a user interface 20 as exemplarily shown in FIG. 5 , and the user interface 20 is used to recommend a breathing training program.

In Figure 5, the user interface 20 may include: a control 201, which is used to trigger the breathing training program.

After receiving an operation on the control 201, the electronic device may change from displaying the user interface 20 as exemplarily shown in FIG. 5 to displaying the second interface 31 as exemplarily shown in FIG. 6A. The second interface 31 is used to prompt the user to follow the Breathing exercises are performed at the recommended breathing rate and for the recommended breathing duration.

Among them, this application does not limit the specific implementation of the second interface 31. In some embodiments, the second interface 31 may be at least one of a user interface of an application installed in the electronic device, a web page displayed in the electronic device, or a page of a public account displayed in the electronic device, etc. .

For example, the second interface 31 is a user interface of the Huawei Innovation Research application or the Huawei Sports Health application in the electronic device.

In Figure 6A, the second interface 31 may include: a first control 301 and prompt information 302. The first control 301 is used to start breathing training. The prompt information 302 is used to prompt the recommended breathing frequency and recommended breathing duration.

Among them, this application does not limit parameters such as size, shape, position, content, etc. of the first control 301 and the prompt information 302. Operations on the first control 301 may include but are not limited to: single click, double click, long press, etc. In addition, the first control may include one or more controls.

After receiving the operation on the first control 301, the electronic device may determine that the user starts breathing training. Therefore, the electronic device may change from displaying the second interface 31 exemplarily shown in FIG. 6A to displaying the second interface 31 exemplarily shown in FIG. 6B or FIG. 6C.

In Figure 6B, the electronic device can draw the second curve b1 suspended on the first curve a. In Figure 6C, the electronic device can draw the second curve b2 suspended on the first curve a. As a result, the electronic device can intuitively display the difference between the first curve a and the second curve (b1 or b2), guiding the user to maintain good breathing training.

Among them, the first curve a can be used to display the recommended breathing training program to the user. The first curve a is obtained based on the recommended breathing duration and recommended breathing frequency.

Among them, the second curve (b1 or b2) can be used to show the user's real-time breathing frequency. The second curve (b1 or b2) is obtained based on the user's real-time breathing frequency.

In addition, the forms of the first curve a and the second curve (b1 or b2) may include but are not limited to: trigonometric function curves, polylines, histograms, etc.

In order to facilitate distinction, in Figures 6B to 6C, the second curve (b1 or b2) is displayed as a solid line, and the first curve a is displayed as a dotted line.

In FIG. 6B , when the user breathes quickly, the real-time breathing frequency presented by the second curve b1 is faster than the recommended breathing frequency indicated by the first curve a. When the real-time respiratory frequency is greater than the recommended respiratory frequency, the electronic device may display the first information 305 in the second interface 31 .

Among them, the first information 305 is used to prompt the user to slow down his breathing. This application does not limit parameters such as content, mode, location, duration, etc. of the first information 305. In some embodiments, the first information 305 may be displayed in at least one manner of text, voice, image, physical vibration, etc.

In FIG. 6C , when the user breathes slowly, the real-time breathing frequency presented by the second curve b2 is slower than the recommended breathing frequency indicated by the first curve a. When the real-time respiratory frequency is less than the recommended respiratory frequency, the electronic device may display the second information 306 in the second interface 31 .

Among them, the second information 306 is used to prompt the user to breathe faster. This application does not limit the parameters of the second information 306 such as content, mode, location, duration, etc. In some embodiments, the second information 306 may be displayed using at least one of text, voice, image, physical vibration, and the like.

In addition, after receiving the operation on the first control 301, the electronic device can also record the user's breathing training data. The user's breathing training data may include data generated by the user during the actual breathing training process.

In some embodiments, sensors such as gyroscopes, accelerometers (ACC), and PPG in wearable devices can collect the user's breathing training data in real time. The wearable device can send the user's breathing training data to the electronic device, so that the electronic device can obtain the user's breathing training data and draw the second curve (b1 or b2).

It should be understood that, in addition to the above implementation manner, when the electronic device is a wearable device, the electronic device can collect the user's breathing training data in real time.

After the user's breathing training is completed, the electronic device may display the second interface 31 as schematically shown in FIG. 6D . The second interface 31 is used to remind the user that the breathing training has been completed and to feedback the user's breathing training results.

In FIG. 6D , the second interface 31 may include a control 307 , which is used to trigger entry into an entrance that displays the user's breathing training results.

Among them, the user's breathing training results are obtained based on the user's breathing training data. The user's breathing training results may include but are not limited to: total exhalation time (such as how many minutes the user exhales), total inhalation time (such as how many minutes the user inhales), real-time breathing frequency, number of exhalations, number of inhalations, overall The breathing rhythm is 1:X, or is within at least one of the optimal breathing rates. This application does not limit parameters such as content, method, location, duration, etc. of the user's breathing training results. In some embodiments, the user's breathing training results can be displayed using at least one of text, voice, image, etc. methods.

After receiving an operation on the control 307, the electronic device may change from displaying the second interface 31 as exemplarily shown in FIG. 6D to displaying the second interface 31 as exemplarily shown in FIG. 6E.

In Figure 6E, the second interface 31 may include a control 308, which is used to display the user's breathing training results.

It should be understood that after the user's breathing training is completed, the electronic device may also display the second interface 31 as exemplarily shown in Figure 6E. Thus, the user's breathing training results are intuitively displayed to the user.

In addition, after the user's breathing training is completed, the electronic device can also adjust the recommended breathing duration and/or recommended breathing frequency based on the user's breathing training data, and update the first curve a mentioned in this application.

And/or, after receiving the operation on the second control in the second interface, the electronic device can also adjust the recommended breathing duration and/or the recommended breathing frequency, and update the first curve a mentioned in this application.

Wherein, the second control is used to trigger an entry for adjusting the recommended breathing duration and/or the recommended breathing frequency. This application does not limit parameters such as size, shape, position, etc. of the second control. The operations on the second control may include but are not limited to: single click, double click, long press, etc. In addition, the second control may include one or more controls.

For example, in Figure 6A before the user's breathing training starts, and/or in Figure 6E after the user's breathing training ends, the second interface 31 may also include: a control 303, which is used to provide adjustments to the user. Portal for recommended breath duration and/or recommended breath rate.

In addition, in FIG. 6A, the second interface 31 may also include: a control 304. The control 304 is used to adjust the recommended breathing duration. The control 304 may also be regarded as the second control mentioned in this application.

Taking FIG. 6E after the user's breathing training is completed as an example, after receiving an operation on the control 303 shown in FIG. 6E , the electronic device can change from displaying the second interface 31 shown in the example in FIG. 6E to displaying the example in FIG. 6F The second interface 31 shown below.

In Figure 6F, the second interface 31 may include: a control 309 and a control 310. The control 309 is used to adjust the recommended breathing frequency, and the control 310 is used to adjust the recommended breathing duration.

It can be seen that control 303 and control 309 can be regarded as the second control mentioned in this application, capable of adjusting the recommended breathing frequency, and/or, control 303 and control 310 can be regarded as the second control mentioned in this application, capable of adjusting the recommended breathing frequency. duration. Thus, the user can independently select the duration and/or frequency of breathing training.

In addition, in Figure 6F, the second interface 31 may also include: a control 311, which is used to continue to start breathing training.

In summary, electronic devices can provide users with personalized breathing training programs based on the user's emotional health index, as well as personalized breathing training programs, and can also provide users with a complete set of user interface interaction logic. Therefore, the user's breathing training behavior can be standardized, the quality of the user's breathing training can be ensured, and the user can perform breathing training efficiently.

Based on the above description, the electronic device can also recommend a personalized exercise training plan to the user based on the user's emotional health index.

In some embodiments, the electronic device uses methods such as caloric consumption and high-intensity heart rate accumulation duration to obtain recommended exercise types and recommended exercise durations based on the user's emotional health index.

In addition, electronic devices use methods such as calorie consumption and high-intensity heart rate accumulation time, and can also be combined with the user's basic information (such as gender, age, province, city, height, weight and other information that the user has authorized) to calculate the user's emotional health based on the user's emotional health. Index to get the recommended exercise type and recommended exercise duration.

Among them, the recommended exercise types may include but are not limited to: walking, cycling, brisk walking, swimming, etc. Recommended exercise duration for the purpose of an exercise training program. The recommended exercise duration can be 6 minutes, 20 minutes, 60 minutes, etc.

Therefore, the electronic device can provide matching exercise training suggestions for users with different emotional health states.

Before the user's exercise training begins, the electronic device can display the exercise training plan and remind the user to perform appropriate exercise training.

During the user's exercise training process, the electronic device, combined with the user's exercise training data in the actual process, can adaptively match the user's exercise execution to the exercise training plan, achieving the recommended exercise even if the user selects or the electronic device recommends The type is different from the actual exercise type of the user in the actual process, but the process of matching the exercise training plan can still be automated, avoiding the problem of poor exercise execution caused by poor emotional health.

After the user's exercise training is completed, the electronic device can also display the completion progress/exercise execution status of the user's exercise training plan, and guide the user to continue exercise training.

Next, with reference to FIG. 5 and FIG. 7A-FIG. 7B, the specific implementation process of the electronic device recommending a sports training plan to the user is introduced in detail.

Please refer to Figures 7A-7B. Figures 7A-7B are schematic diagrams of a human-computer interaction interface provided by an embodiment of the present application. For ease of explanation, in FIGS. 7A and 7B , the electronic device is a mobile phone as an example.

In Figure 5, the user interface 20 may also include: a control 202, which is used to trigger the sports training plan.

After receiving an operation on the control 202, the electronic device may change from displaying the user interface 20 as exemplarily shown in FIG. 5 to displaying a third interface 41 as exemplarily shown in FIG. 7A. The third interface 41 is used to prompt the user to adopt Recommended exercise types and exercise training for the recommended exercise duration.

Among them, this application does not limit the specific implementation of the third interface 41. For example, the third interface 41 may be at least one of a user interface of an application program installed in the electronic device, a web page displayed on the electronic device, or a page of a public account displayed on the electronic device.

In FIG. 7A, the third interface 41 may include a third control 401. The third control 401 is used to start sports training, and the third control 401 is also used to trigger an entry for recording the user's sports training data.

Among them, this application does not limit parameters such as size, shape, position, etc. of the third control 401. The operations on the third control 401 may include but are not limited to: single click, double click, long press, etc. In addition, the third control may include one or more controls.

After receiving the operation on the third control 401, the electronic device may determine that the user starts exercise training. Thus, the electronic device can record the user's exercise training data. Among them, the user's sports training data may include data generated by the user during the actual sports training process.

In some embodiments, the gyroscope and ACC, PPG and other sensors in the wearable device can collect the user's sports training data, or the user's basic information and the user's sports training data in real time. The wearable device can send the user's sports training data, or the user's basic information and the user's sports training data to the electronic device, so that the electronic device can obtain the user's sports training data, or the user's basic information and the user's sports training data. .

It should be understood that, in addition to the above implementation methods, when the electronic device is a wearable device, the electronic device can collect the user's sports training data, or the user's basic information and the user's sports training data in real time.

After the user's exercise training is completed, the electronic device may display a third interface 41 as exemplarily shown in FIG. 7B . The third interface 41 is used to remind the user that the exercise training has been completed and to provide feedback on the user's exercise execution status in a time dimension.

Among them, the user's exercise execution status is obtained based on the user's exercise training data, or the user's basic information and the user's exercise training data. The user's exercise execution status may include but is not limited to: at least one of the total exercise duration, actual exercise type, exercise date, exercise start time point, exercise end time point, or completion progress of the exercise training plan. This application does not limit parameters such as content, method, location, duration, etc. of the user's exercise execution. In some embodiments, the user's movement execution status may be displayed using at least one of text, voice, image, etc. methods.

In addition, after the user's exercise training is completed, the electronic device can adjust the recommended exercise type and/or recommended exercise duration based on the user's exercise training data.

And/or, before the user starts exercise training, after receiving an operation on the fourth control in the third interface 41, the electronic device may adjust the recommended exercise type and/or the recommended exercise duration. Thus, the user can independently select the type and/or duration of exercise training.

Among them, the fourth control is used to trigger an entrance to adjust the recommended exercise type and/or recommended exercise duration. This application does not limit parameters such as size, shape, position, etc. of the fourth control. The operations on the fourth control may include but are not limited to: single click, double click, long press, etc. In addition, the fourth control may include one or more controls.

For example, in FIG. 7A , the third interface 41 may also include a control 402 , which is used to adjust the recommended exercise type. The control 402 may be regarded as the fourth control mentioned in this application. Thus, upon receiving an operation on control 402, the electronic device may adjust the recommended exercise type.

Taking the method of calorie consumption as an example, assume that the recommended exercise type selected by the user or recommended by the electronic device is running. If the user's actual exercise type during the actual process is walking, then the electronic device can match the calories consumed by walking to the exercise training plan to update the completion progress of the exercise training plan. Therefore, the recommended exercise type selected by the user or recommended by the electronic device is used as a traction to guide the user to complete the corresponding exercise training plan.

In summary, electronic devices can provide users with personalized sports training plans based on the user's emotional health index, and can automatically match the user's actual sports training data to the sports training plan, avoiding the problems caused by poor emotional health. To solve the problem of poor execution of the sports training plan, users are guided to complete the sports training plan in sequence.

Illustratively, this application provides an emotional health analysis device, including: a module for implementing the emotional health state analysis method in the previous embodiment.

Exemplarily, this application provides an electronic device, including: a memory and a processor; the memory is used to store program instructions; and the processor is used to call the program instructions in the memory so that the electronic device executes the emotional health state analysis method in the previous embodiment.

Exemplarily, this application provides a chip, including: an interface circuit and a logic circuit. The interface circuit is used to receive signals from other chips other than the chip and transmit them to the logic circuit, or to transmit signals from the logic circuit. The signal of the circuit is sent to other chips besides the chip, and the logic circuit is used to implement the emotional health state analysis method in the previous embodiment.

Exemplarily, this application provides a chip system, which is applied to electronic devices including memory, display screens, and sensors; the chip system includes: a processor; when the processor executes computer instructions stored in the memory, the electronic device executes the foregoing Emotional health status analysis method in the embodiment.

Illustratively, the present application provides a computer-readable storage medium on which a computer program is stored. The computer program is executed by a processor so that the electronic device implements the emotional health state analysis method in the previous embodiment.

Exemplarily, this application provides a computer program product, including: execution instructions, the execution instructions are stored in a readable storage medium, and at least one processor of the electronic device can read the execution instructions from the readable storage medium, and the at least one processor Executing the execution instructions causes the electronic device to implement the emotional health state analysis method in the previous embodiment.

In the above embodiments, all or part of the functions may be implemented by software, hardware, or a combination of software and hardware. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in this application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more available media integrated. The available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, solid state disk (SSD)), etc.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments are implemented. This process can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, , may include the processes of the above method embodiments. The aforementioned storage media include: read-only memory (ROM) or random access memory (RAM), magnetic disks, optical disks and other media that can store program codes.

Claims (17)

1. An emotional health state analysis method, characterized in that the method includes: Obtain sensor data during the user's sleep during a predetermined period of time; According to the sensor data, obtain the heartbeat interval data of the user; According to the user's heartbeat interval data, the user's emotional health index is obtained, and the user's emotional health index is used to represent the user's emotional health state. 2. The method of claim 1, wherein obtaining the user's emotional health index based on the user's heartbeat interval data includes: According to the heartbeat interval data of the user, the heart rate variability index of the target sleep period is obtained, and the target sleep period is the deep sleep period and/or rapid eye movement period that the user enters during the predetermined period of sleep. ; According to the heart rate variability index of the target sleep period, the user's emotional health index is obtained. 3. The method according to claim 2, characterized in that, the method further comprises: Obtain the fragmentation degree indicator of the target sleep period according to the user's heartbeat interval data; Obtaining the user's emotional health index based on the heart rate variability index of the target sleep period includes: obtaining the user's emotional health index based on the heart rate variability index and fragmentation index during the target sleep period. . 4. The method of claim 3, wherein obtaining the user's emotional health index based on the heart rate variability index and fragmentation degree index during the target sleep period includes: Input the heart rate variability index and fragmentation degree index during the target sleep period into the emotional health state model, and output the user's emotional health index. The emotional health state model is used to indicate the emotions corresponding to different emotional health states. Correlation between health index and heart rate variability index and fragmentation index. 5. The method according to any one of claims 2 to 4, characterized in that the heart rate variability index includes: low frequency LF, high frequency HF, very low frequency VLF, low frequency normalized value LFnu, high frequency normalized value. The normalized value HFnu, the normalized value VLFnu of the very low frequency, the ratio of low frequency to high frequency LF/HF ratio, the standard deviation SDNN of the RR intervals of all sinus beats, the root mean square rMSSD of the RR interval difference of adjacent sinus beats, The mean standard deviation of the sinus beat RR interval in each 5-minute period SDANN, the number of adjacent sinus beats with a RR difference greater than 50 milliseconds as a percentage of the total number of sinus beats pNN50, the mean heart rate mean-HR, the triangular index triangular, At least one of the horizontal axis SD1, the vertical axis SD2, or the ratio between the horizontal axis and the vertical axis SD1/SD2ratio. 6. The method according to any one of claims 1-5, characterized in that the method further includes: Record the user's emotional health index; The user's emotional health index is displayed in the first interface. 7. The method according to any one of claims 1-6, characterized in that the method further includes: According to the user's emotional health index, the recommended breathing duration and recommended breathing frequency are obtained; A second interface is displayed, and the second interface is used to prompt the user to perform breathing training for the recommended breathing duration according to the recommended breathing frequency. 8. The method according to claim 7, characterized in that the method further comprises: Display the first control in the second interface; In response to the operation on the first control, a second curve is drawn suspended on the first curve, the first curve is obtained according to the recommended breathing duration and the recommended breathing frequency, and the second curve is Obtained based on the user's real-time breathing frequency. 9. The method according to claim 8, characterized in that the method further comprises: When the real-time breathing frequency is greater than the recommended breathing frequency, first information is displayed in the second interface, and the first information is used to prompt the user to slow down his breathing; Alternatively, when the real-time respiratory frequency is less than the recommended respiratory frequency, second information is displayed in the second interface, and the second information is used to prompt the user to breathe faster. 10. The method according to claim 8 or 9, characterized in that the method further comprises: In response to an operation on the first control, recording breathing training data of the user; After the user's breathing training is completed, the user's breathing training results are displayed in the second interface according to the user's breathing training data. The user's breathing training results include: the total duration of exhalation, inhalation At least one of the total duration, real-time respiratory rate, number of exhalations, or number of inhalations. 11. The method according to any one of claims 8-10, characterized in that the method further includes: In response to the operation on the second control in the second interface or according to the user's breathing training results, the recommended breathing duration and/or the recommended breathing frequency are adjusted, and the first curve is updated. 12. The method according to any one of claims 1-11, characterized in that the method further includes: According to the user's emotional health index, the recommended exercise type and recommended exercise duration are obtained; A third interface is displayed, and the third interface is used to prompt the user to use the recommended exercise type to perform exercise training of the recommended exercise duration. 13. The method according to claim 12, characterized in that the method further comprises: Display a third control in the third interface; In response to the operation on the third control, recording the user's sports training data; After the user's exercise training is completed, the user's exercise execution status is displayed in the third interface according to the user's exercise training data. 14. The method according to claim 12 or 13, characterized in that the method further comprises: Display a fourth control in the third interface; In response to the operation on the fourth control, the recommended exercise type and/or the recommended exercise duration is adjusted. 15. An electronic device, characterized by comprising: a memory and a processor; The memory is used to store computer programs or instructions; The processor is configured to call a computer program or instruction in the memory to cause the electronic device to execute the method described in any one of claims 1-14. 16. A chip system, characterized in that the chip system is applied to an electronic device including a memory and a sensor; the chip system includes: a processor; when the processor executes a computer program or instruction stored in the memory When the electronic device performs the method described in any one of claims 1-14. 17. A computer-readable storage medium, characterized in that it includes a computer program or instructions, and when the computer program or instructions are run on an electronic device, the electronic device causes the electronic device to execute as claimed in any one of claims 1-14. method described.