CN113138663B - Equipment adjustment method, equipment adjustment device, electronic equipment and storage medium - Google Patents

Abstract

The present disclosure relates to a device adjustment method, a device adjustment apparatus, an electronic device, and a storage medium. The device adjustment method is applied to an electronic device, and the device adjustment method includes: in response to collecting a gesture and determining that the gesture has a gesture shape for adjusting a device parameter, displaying an adjustment control of the device parameter corresponding to the gesture shape on the electronic device. Determine the scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control. In the case where the gesture moves, adjust the value of the device parameter based on the movement change of the gesture and the scale mapping relationship. Through the device adjustment method provided by the present disclosure, the value of the device parameter can be accurately adjusted based on the scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control and the movement change of the gesture, and the operation is simple, which helps to enhance the user experience.

Description

Equipment adjustment method, equipment adjustment device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of human-computer interaction technology, and in particular to a device adjustment method, a device adjustment apparatus, an electronic device, and a storage medium.

Background Art

With the booming development of the smart home industry, electronic devices have also ushered in an epoch-making revolution from traditional devices to electronic devices. At the same time, users' demands for electronic devices are getting higher and higher. They are not satisfied with the traditional control methods and hope to add some functions that can interact with electronic devices.

In the related art, when adjusting the value of a device parameter in an electronic device, physical buttons, a remote control, or voice are usually used for adjustment, which requires the user to operate multiple times or issue multiple commands, resulting in a poor user experience.

Summary of the invention

In order to overcome the problems existing in the related art, the present disclosure provides a device adjustment method, a device adjustment apparatus, an electronic device and a storage medium.

According to a first aspect of an embodiment of the present disclosure, a device adjustment method is provided, which is applied to an electronic device, and the device adjustment method includes: in response to collecting a gesture and determining that the gesture has a gesture shape for adjusting a device parameter, displaying an adjustment control of the device parameter corresponding to the gesture shape on the electronic device. Determine a scale mapping relationship between the size of the gesture shape and the adjustment interval of the adjustment control. In the case where the gesture moves, adjust the value of the device parameter based on the movement change of the gesture and the scale mapping relationship.

In some embodiments, the determining of the scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control includes: determining the moving distance of the adjustment interval corresponding to the gesture shape size based on the gesture shape size and the number of mappings of the gesture shape size in the adjustment interval. Based on the adjustment interval and the moving distance, determining the unit adjustment amount corresponding to the unit moving distance. Mapping the unit adjustment amount with the unit moving distance to determine the scale mapping relationship between the gesture shape size and the adjustment interval.

In other embodiments, adjusting the value of the device parameter based on the movement change of the gesture and the scale mapping relationship includes: making the initial position of the gesture movement correspond to the initial parameter value of the device parameter. Determining the direction of the gesture movement, and determining the movement change of the gesture relative to the initial position in the direction. Determining the adjustment change corresponding to the movement change based on the movement change and the scale mapping relationship. Based on the correspondence between the gesture movement direction and the progress bar adjustment direction, adjusting the adjustment change based on the initial parameter value in the direction matching the gesture movement.

In some further embodiments, before adjusting the value of the device parameter based on the movement change of the gesture and the scale mapping relationship, the device adjustment method further includes: determining that the gesture moves within a valid movement range.

In some further embodiments, the device adjustment method further includes: in response to the gesture moving within an ineffective movement range, pausing adjustment of the value of the device parameter.

In some other embodiments, after pausing the adjustment of the value of the device parameter, the device adjustment method further includes: if within a valid time range, the gesture is monitored to move within a valid movement range, then based on the current adjustment progress, the value of the device parameter continues to be adjusted based on the movement change of the gesture and the scale mapping relationship.

In some further embodiments, the adjustment control includes: a progress bar; and an adjustment control for displaying the device parameter corresponding to the gesture shape on the electronic device, including: based on a mapping relationship between a moving direction and a progress bar type, according to the moving direction of the gesture, determining and displaying the progress bar for the device parameter corresponding to the gesture shape on the electronic device, wherein different moving directions correspond to different types of progress bars.

According to a second aspect of an embodiment of the present disclosure, there is provided a device adjustment apparatus, which is applied to an electronic device, and the device adjustment apparatus comprises: a display module, which is used to display an adjustment control of the device parameter corresponding to the gesture shape on the electronic device in response to a gesture being collected and determining that the gesture has a gesture shape for adjusting a device parameter. A determination module, which is used to determine a scale mapping relationship between the size of the gesture shape and the adjustment interval of the adjustment control. An adjustment module, which is used to adjust the value of the device parameter based on the movement change of the gesture and the scale mapping relationship when the gesture moves.

In some embodiments, the determination module determines the scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control in the following manner: based on the gesture shape size and the number of mappings of the gesture shape size in the adjustment interval, determine the moving distance of the adjustment interval corresponding to the gesture shape size. Based on the adjustment interval and the moving distance, determine the unit adjustment amount corresponding to the unit moving distance. Map the unit adjustment amount to the unit moving distance to determine the scale mapping relationship between the gesture shape size and the adjustment interval.

In other embodiments, the adjustment module adjusts the value of the device parameter based on the movement change of the gesture and the scale mapping relationship in the following manner: the initial position of the gesture movement is made to correspond to the initial parameter value of the device parameter. The direction of the gesture movement is determined, and the movement change of the gesture in the direction relative to the initial position is determined. Based on the movement change and the scale mapping relationship, the adjustment change corresponding to the movement change is determined. Based on the correspondence between the gesture movement direction and the progress bar adjustment direction, the adjustment change is adjusted on the basis of the initial parameter value in the direction matching the gesture movement.

In some further embodiments, the determination module is further used to: determine that the gesture moves within a valid movement range.

In some further embodiments, the adjustment module is further used to: in response to the gesture moving within an ineffective movement range, suspend adjusting the value of the device parameter.

In some other embodiments, the adjustment module is also used for: if the gesture is monitored to move within the effective movement range within the effective time range, then based on the current adjustment progress, continue to adjust the value of the device parameter based on the movement change of the gesture and the scale mapping relationship.

In some further embodiments, the adjustment control includes: a progress bar; the display module displays the adjustment control of the device parameter corresponding to the gesture shape on the electronic device in the following manner: based on the mapping relationship between the moving direction and the progress bar type, according to the moving direction of the gesture, determine and display the progress bar of the device parameter corresponding to the gesture shape on the electronic device, wherein different moving directions correspond to different types of progress bars.

In some further embodiments, the electronic device includes at least an image acquisition device, and the image acquisition device is used to acquire the gesture.

According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, comprising: a memory for storing instructions, and a processor for calling the instructions stored in the memory to execute any one of the above-mentioned device adjustment methods.

According to a fourth aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, storing instructions, and when the instructions are executed by a processor, any one of the above-mentioned device adjustment methods is executed.

The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: through the device adjustment method provided by the present disclosure, it is possible to determine the scale mapping relationship between the shape and size of the gesture and the adjustment range of the adjustment control based on the collected gesture, and then when adjusting the progress, it is possible to accurately adjust the device parameters based on the displacement change of the gesture and the scale mapping relationship, so that the user does not need to perform multiple actions during the process of adjusting the device parameters. While the operation is convenient, it helps to enhance the user experience.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

Fig. 1 is a flow chart showing a method for adjusting a device according to an exemplary embodiment of the present disclosure.

Fig. 2 is a schematic diagram of an electronic device according to an exemplary embodiment of the present disclosure.

Fig. 3 is a diagram showing an effect of device adjustment according to an exemplary embodiment of the present disclosure.

Fig. 4 is a flow chart showing a method for determining a scale mapping relationship according to an exemplary embodiment of the present disclosure.

Fig. 5 is a schematic diagram showing a method of determining a shape size according to an exemplary embodiment of the present disclosure.

Fig. 6a is an interactive schematic diagram of device adjustment according to an exemplary embodiment of the present disclosure.

Fig. 6b is a schematic diagram of another interactive device adjustment according to an exemplary embodiment of the present disclosure.

Fig. 7 is a schematic diagram showing a process of determining a device parameter adjustment change amount according to an exemplary embodiment of the present disclosure.

Fig. 8 is a flow chart showing another device adjustment method according to an exemplary embodiment of the present disclosure.

FIG. 9 is a schematic diagram showing an effective movement range according to an exemplary embodiment of the present disclosure.

Fig. 10 is a schematic diagram showing yet another device adjustment method according to an exemplary embodiment of the present disclosure.

Fig. 11 is a block diagram of a device adjustment apparatus according to an exemplary embodiment of the present disclosure.

Fig. 12 is a block diagram of another device adjustment apparatus according to an exemplary embodiment of the present disclosure.

Fig. 13 is a block diagram of another device adjustment apparatus according to an exemplary embodiment of the present disclosure.

DETAILED DESCRIPTION

Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

The present disclosure provides a device adjustment method, which can determine the proportional mapping relationship between the size of the gesture shape and the progress bar adjustment interval based on the collected gesture shape, and then adjust the device parameters of the adjustment control without the user adopting a large movement amplitude, and can perform precise adjustment. It is highly practical and the adjustment process is convenient, which helps to improve the user experience.

In some examples, the device adjustment method provided by the present disclosure can be applied to electronic devices. In some embodiments, the types of electronic devices may include: mobile phones, tablets, smart TVs, smart speakers with screens, smart watches with screens, iPods, etc. In other embodiments, the structure of the terminal may include: double-sided screen electronic devices, folding screen electronic devices, full-screen electronic devices, curved screen electronic devices, etc.

Fig. 1 is a flow chart of a device adjustment method according to an exemplary embodiment. As shown in Fig. 1 , the progress bar adjustment includes the following steps S11 to S13.

In step S11 , in response to the gesture being collected and determining that the gesture has a gesture shape for adjusting a device parameter, an adjustment control for the device parameter corresponding to the gesture shape is displayed on the electronic device.

In the embodiment of the present disclosure, during the use of an electronic device, a gesture in front of the electronic device is collected to determine whether the current user needs to adjust the device parameters. In some examples, the gesture can be collected by other terminal devices in communication connection with the electronic device or by an electronic device with an image acquisition device. If the gesture is collected by other terminal devices in communication connection with the electronic device, the other terminal devices can send the collected gesture information to the electronic device so that the electronic device can obtain the gesture. In some implementation scenarios, the electronic device can be taken as an example of a television. If the television does not have an image acquisition device, the gesture can be collected by a home camera in communication connection with the television, and then the home camera sends the collected gesture information to the television, so that the gesture obtained by the television can determine whether the gesture has a gesture shape for adjusting the device parameters. If the gesture is collected by an electronic device with an image acquisition device, the image acquisition device or image sensor in the electronic device can be used to collect the gesture. Among them, the image acquisition device may include: a camera or an artificial intelligence (AI) camera. Figure 2 is a schematic diagram of an electronic device according to an exemplary embodiment. In some implementation scenarios, as shown in FIG. 2, taking the electronic device as a television with an image acquisition device as an example, the image acquisition device may be a camera, which is arranged above the display panel of the television facing the user, and then when collecting gestures, the gestures within the wide-angle range can be collected based on the wide-angle range of the camera, so as to be able to capture the user's need to adjust the progress bar in time. In some examples, the wide-angle angle of the camera can be 120 degrees. In other implementation scenarios, the electronic device includes a lifting camera, and gestures can be collected by the lifting camera. Before performing gesture collection, the electronic device can be controlled in advance to turn on the lifting camera and start the gesture recognition function in the lifting camera. If the lifting camera is turned on, the lifting camera is raised to collect gestures. If the lifting camera is turned off, the lifting camera is lowered. In some implementation scenarios, in order to protect the security and privacy of the electronic device, before starting the lifting camera, the camera function can be turned on in advance to determine the identity of the current user, and then the lifting camera is started for gesture recognition. In some examples, when the lifting camera is turned on, the lifting camera can also be used for shooting. In other examples, when the gesture recognition function in the lifting camera is activated, the electronic device can be controlled by triggering gestures.

In the process of collecting gestures, when it is determined that the currently collected gesture has a gesture shape for adjusting device parameters, the adjustment control of the device parameter corresponding to the gesture shape is displayed on the electronic device. Among them, the adjustment control may include: a progress bar, a progress box or an adjustable application window capable of adjusting device parameters, and the gesture shape may include: a clenched fist, an upright palm or a "yeah", and the display position of the adjustment control may be located at any position in the electronic device display screen, which is not limited in the present disclosure. In order not to block the original display interface of the electronic device when displaying the adjustment control, the screen of the displayed adjustment control may be set to float above the original display interface, and the screen of the displayed adjustment control may be set to have a higher transparency and lower saturation. In some examples, if the adjustment control is a progress bar, its corresponding device parameter may include volume, playback progress or brightness. The determination of the device parameter may be determined according to the type of the progress bar. That is, if the type of the progress bar is a volume progress bar, the corresponding device parameter is volume. If the type of the progress bar is a playback progress bar, the corresponding device parameter is playback progress. If the type of the progress bar is a brightness progress bar, the corresponding device parameter is brightness. In other examples, the shape of the adjustment control may include: a long strip, a circle or other shapes. In some implementation scenarios, if the adjustment control is a progress bar, the shape of the adjustment control displayed on the electronic device may be a long strip. In other implementation scenarios, the display position of the adjustment control may be located in the left display area, the right display area, the upper display area, the lower display area or the middle display area of the electronic device display screen.

In step S12, a scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control is determined.

In the disclosed embodiment, different users have different gesture shapes and sizes. To ensure that different users can get the same user experience, when adjusting the device parameters of the adjustment control, the scale mapping relationship between the collected gesture shape size and the adjustment range of the adjustment control can be determined based on the scale principle. Then, when adjusting the adjustment control, there is no need to consider other adjustment factors. According to the movement change of the gesture, the value of the corresponding device parameter can be determined. This helps the smart terminal to respond quickly and make precise adjustments according to the user's gesture movement, thereby improving the user's user experience.

In some implementation scenarios, if multiple gestures with gesture shapes having numerical values for adjusting device parameters appear during gesture collection, the scale mapping relationship between the gesture shape size and the adjustment range of the adjustment control can be determined based on the gesture shape size of the gesture shape with numerical values for adjusting device parameters that is first determined.

In step S13, when the gesture moves, the value of the device parameter is adjusted based on the movement change of the gesture and the scale mapping relationship.

In the disclosed embodiment, when a gesture moves, the initial parameter value representing the device parameter needs to be adjusted. Based on the determined scale mapping relationship, the value to be adjusted for the initial parameter value of the device parameter can be determined based on the amount of change in the gesture movement, and then when the gesture moves, the value of the device parameter can be adjusted in real time, making the adjustment process more convenient, helping to increase the interactivity between humans and machines, and helping to improve the user experience.

Through the above-mentioned embodiments, based on the principle of scale, a scale mapping relationship can be established between the collected data for adjusting the shape and size of gestures and the adjustment range of the adjustment control, and then when the device parameters corresponding to the adjustment control are adjusted, the values of the device parameters can be accurately adjusted in real time according to the movement of the gesture, making the process of adjusting the device parameters more convenient and more practical, thereby helping to improve the user experience and enhance the interactivity between people and electronic devices.

In some implementation scenarios, as shown in FIG3, in order to make it clear to the user that the electronic device has successfully collected a gesture for adjusting device parameters, the electronic device can display the gesture shape while displaying the adjustment control corresponding to the gesture shape, so that by displaying the gesture shape, it is possible to effectively output the indication information that the electronic device has recognized the gesture. FIG3 is a diagram of a progress bar adjustment effect according to an exemplary embodiment.

The following embodiment will specifically illustrate the process of determining the proportional mapping relationship between the gesture shape size and the adjustment range of the adjustment control.

Fig. 4 is a flow chart showing a method for determining a scale mapping relationship according to an exemplary embodiment. As shown in Fig. 4, the process of determining the scale mapping relationship includes the following steps.

In step S21 , based on the gesture shape size and the number of mappings of the gesture shape size in the adjustment interval, the moving distance of the adjustment interval corresponding to the gesture shape size is determined.

In the disclosed embodiment, in order to clarify the correspondence between the moving distance of the gesture and the adjustment interval, so that the adjustment change amount of the corresponding adjustment device parameter can be clearly determined during the movement of the gesture, the moving distance of the adjustment interval corresponding to the gesture shape size is determined based on the gesture shape size and the number of mappings of the gesture shape size in the adjustment interval. Among them, the adjustment interval refers to the interval range in which the value of the device parameter can be adjusted. For example: the gesture shape size is 10 centimeters (cm), and the number of mappings of the gesture shape in the progress bar adjustment interval is 5, then the moving distance of the gesture shape size corresponding to the adjustment interval is 5*10cm=50cm. If the adjustment interval is [0,100], when the value of the device parameter is adjusted from 0 to 100, the moving distance corresponding to the gesture shape size is 50cm.

In some embodiments, since the gesture shapes and sizes of different users are different, in order to make the device parameters more targeted during the adjustment process and more suitable for the sensitivity adjustment requirements of the current user, the number of mappings of the gesture shape size in the adjustment interval can be a default number or a specified number. For example: Taking the gesture shape size of 10cm and the adjustment interval of [0,100] as an example, if the number of mappings of the gesture shape size in the adjustment interval is 5, then the movement distance of the gesture shape size corresponding to the adjustment interval is 5*10cm=50cm, and when the value of the device parameter is adjusted from 0 to 100, the movement distance corresponding to the gesture shape size is 50cm. If the number of mappings of the gesture shape in the adjustment interval is 8, then the movement distance of the gesture shape size corresponding to the adjustment interval is 8*10cm=80cm. When the value of the device parameter is adjusted from 0 to 100, the movement distance corresponding to the gesture shape size is 80cm. The more the number of mappings, the lower the adjustment sensitivity of the value of the device parameter during the gesture movement, and the slower the adjustment speed. On the contrary, the smaller the number of mappings is, the higher the adjustment sensitivity of the numerical value of the device parameter is and the faster the adjustment speed is during the gesture movement.

In step S22, based on the adjustment interval and the moving distance, a unit adjustment amount corresponding to the unit moving distance is determined.

In the disclosed embodiment, based on the determined moving distance and the progress bar adjustment interval, the unit adjustment amount corresponding to the unit moving distance can be determined, and then when the gesture moves within the moving distance, the adjustment change of the device parameter value can be determined in real time, which helps to adjust the value of the device parameter in real time. For example: when the moving distance is 50cm and the adjustment interval is [0,100], the unit adjustment amount corresponding to the unit moving distance is 50cm:100=1cm:2. That is, for every 1cm of movement, the corresponding unit adjustment amount is 2.

In step S23, the unit adjustment amount is mapped to the unit movement distance to determine the scale mapping relationship between the gesture shape size and the adjustment interval.

In the disclosed embodiment, the unit adjustment amount is mapped to the unit moving distance, and the corresponding relationship between the unit moving distance and the unit adjustment amount can be determined, and then according to the gesture shape size, the scale mapping relationship between the gesture shape size and the adjustment interval can be determined. For example: According to the mapping relationship between the unit adjustment amount and the unit moving distance, it can be determined that when the unit moving distance is 1cm, the corresponding unit adjustment amount is a, and then when the gesture shape size is 5cm, the adjustment amount of the device parameter value corresponding to the gesture shape size is 5a. That is, the scale mapping relationship between the gesture shape size and the adjustment interval is that the gesture shape size corresponds to the value of the adjustment device parameter of 5a.

In some implementation scenarios, after determining that the gesture has a gesture shape for adjusting device parameters through the collected gestures, a rectangular coordinate system can be established with the vertical plane parallel to the display interface of the electronic device where the gesture is currently located, so that multiple coordinates of the gesture shape can be obtained. Through multiple coordinates, the size of the gesture shape can be determined, and then the number of mappings of the gesture shape in the progress bar adjustment interval can be determined, and the moving distance of the gesture shape size corresponding to the adjustment progress bar adjustment interval can be determined. For example: take the gesture shape as an example of clenching a fist. As shown in Figure 5, the rectangular coordinate system can determine that the values corresponding to the ordinates of the fist are 5 and 15, respectively, and then the height of the fist can be determined to be 15cm-5cm=10cm, that is, the size of the fist is 10cm. Among them, the horizontal axis unit and the vertical axis unit are both cm. Figure 5 is a schematic diagram of determining the size of a shape according to an exemplary embodiment. If the number of mappings is 5 and the progress bar adjustment interval is [0,100], when the user adjusts the progress of the progress bar from 0 to 100, the distance to be moved is 10×5=50cm.

In some examples, a rectangular coordinate system including the gesture can be established according to the vertical plane parallel to the display interface of the electronic device where the gesture is currently located. In order to facilitate the clarification of the moving distance of the gesture, so that the gesture can adjust the value of the device parameter in real time during the movement, the total adjustment interval of the gesture in the horizontal and vertical directions can depend on the size of the electronic device, the total adjustment interval of the horizontal axis of the rectangular coordinate system can be the same as the length of the electronic device, and the total adjustment interval of the vertical axis can be the same as the height of the electronic device. The center point of the rectangular coordinate system can be the current location of the gesture, or it can be determined based on the initial parameter value of the device parameter and the maximum value of the adjustment interval. In some implementation scenarios, when the center point of the rectangular coordinate system is determined based on the initial parameter value of the device parameter and the maximum value of the adjustment interval, the maximum increase in the value of the device parameter can be determined according to the difference between the maximum value of the adjustment interval and the initial parameter value of the device parameter. According to the scale mapping relationship between the gesture shape and size and the adjustment interval of the adjustment control and the maximum increase, the maximum moving distance of the gesture in the positive direction can be determined. According to the maximum moving distance in the positive direction, the center point of the rectangular coordinate system is determined.

In some embodiments, when a gesture moves, based on the movement change of the gesture and the scale mapping relationship, when adjusting the value of the device parameter, the initial position of the gesture movement is made to correspond to the initial parameter value of the device parameter, so that when adjusting the value of the device parameter according to the movement change of the gesture, the adjustment can be made based on the initial parameter value of the displayed device parameter. According to the direction of the gesture movement, the movement change of the gesture relative to the initial position in the direction of movement can be determined during the movement process, and then based on the movement change and the scale mapping relationship, the adjustment change of the device parameter corresponding to the movement change can be determined. In addition, the direction of the gesture movement has a corresponding relationship with the adjustment direction of the initial parameter value, and the adjustment change can be increased or decreased on the basis of the initial parameter value in the process of adjusting the device parameter according to the movement direction of the gesture, so that the device parameter can be effectively adjusted. In some examples, the positive direction of the gesture movement corresponds to the positive adjustment of the device parameter, that is, based on the initial position of the gesture, when the gesture moves upward or moves to the right, the adjustment change corresponding to the gesture movement change is correspondingly increased in the process of adjusting the value of the device parameter. When the gesture moves downward or to the left, the adjustment change amount corresponding to the gesture movement change amount is correspondingly reduced in the process of adjusting the value of the device parameter.

In some implementation scenarios, after determining that the gesture has a gesture shape that adjusts the value of the device parameter through the collected gesture, the spatial position of the gesture is determined as the initial position of the gesture movement. In order to facilitate the determination of the movement change of the gesture when it moves, a rectangular coordinate system can be established with the vertical plane where the gesture is currently located, and then the movement direction of the gesture can be determined based on the initial position of the gesture. If the gesture moves along the positive direction of the y-axis, or moves along the positive direction of the x-axis, the adjustment change corresponding to the gesture movement change is increased accordingly. If the gesture moves along the negative direction of the y-axis, or moves along the negative direction of the x-axis, the adjustment change corresponding to the gesture movement change is reduced accordingly. For example: take the gesture shape as an example of clenching a fist. The initial position of the fist corresponds to the initial parameter value 1 of the device parameter. As shown in Figure 6a, if the fist moves along the positive direction of the y-axis, the value of the device parameter increases upward. Figure 6a is an interactive schematic diagram of a device adjustment method shown according to an exemplary embodiment. As shown in Figure 6b, if the fist moves along the negative direction of the y-axis, the value of the device parameter decreases downward. Figure 6b is an interactive schematic diagram of another device adjustment method shown according to an exemplary embodiment.

In other implementation scenarios, the process of determining the amount of adjustment change can be shown in Figure 7. Figure 7 is a schematic diagram of a process for determining the amount of adjustment change according to an exemplary embodiment. Taking the shape of a fist as an example, based on the rectangular coordinate system, it can be determined that the coordinates corresponding to the initial position of the fist are (x, 5) and (x, 15) respectively. If the gesture moves along the positive direction of the y-axis, and the coordinates corresponding to the current position are determined to be (x, 30) and (x, 40) respectively, the amount of movement of the fist can be determined based on the distance the fist moves up and down, and then based on the scale mapping relationship, the amount of adjustment corresponding to the amount of movement is determined. For example: According to the scale mapping relationship, it can be determined that the value of the device parameter corresponding to the adjustment of a fist is 20, then the amount of adjustment determined according to the amount of movement of the fist = (40-15)/(15-5)×20=50. That is, the fist moves from the initial position along the positive direction of the y-axis to the current position, and the value of the device parameter required to be adjusted is 50.

In other embodiments, the scale mapping relationship between the gesture shape size and the adjustment interval can be customized according to the needs of the user, so as to meet the different sensitivity requirements of different users for adjusting the numerical value of the device parameter. That is, the percentage of the gesture shape size corresponding to the adjustment interval can be customized in advance, and then after determining the gesture shape size, the mapping quantity can be determined according to the gesture shape size and the percentage of the gesture shape size corresponding to the adjustment interval, so as to determine the moving distance. For example: the percentage of a gesture shape size corresponding to the adjustment interval is pre-set to 20%, and then the mapping quantity can be determined to be 5. That is, through 5 gesture shape sizes, the numerical value of the device parameter can be adjusted from 0 to 100.

Based on the same concept, the disclosed embodiment also provides another device adjustment method. By limiting the effective movement range of the gesture movement, it helps to avoid the situation where the movement change of the gesture suddenly increases or decreases during the movement, causing the progress bar adjustment change to also increase or decrease, thus affecting the user's current usage experience.

Fig. 8 is a flow chart of another device adjustment method according to an exemplary embodiment. As shown in Fig. 8, the device adjustment method includes the following steps.

In step S31, in response to collecting a gesture and determining that the gesture has a gesture shape for adjusting a device parameter, an adjustment control for the device parameter corresponding to the gesture shape is displayed on the electronic device;

In step S32, a scale mapping relationship between the gesture shape size and the adjustment range of the adjustment control is determined;

In step S33 , when the gesture moves, it is determined that the gesture moves within the effective movement range.

In the disclosed embodiment, in order to avoid sudden changes in the values of device parameters during adjustment, the effective movement range of the gesture is determined based on the current position of the gesture during the movement of the gesture to ensure the user experience when adjusting the progress.

Fig. 9 is a schematic diagram of an effective movement range according to an exemplary embodiment. As shown in Fig. 9, when a gesture is moving, if it is determined that the gesture moves within the effective movement range, the current movement is determined to be effective movement, and the movement change of the gesture can be determined in real time, so as to determine the adjustment change in real time and adjust the value of the device parameter in time.

In some embodiments, the effective movement range may be a circular area formed by taking the position of the gesture at the last moment as the center and the specified length as the radius. The specified length may be determined according to the scale mapping relationship. In some examples, the specified length may be the size of the gesture shape of a specified number. For example, if the gesture shape size is 4 cm and the specified number is 2, the specified length is 2*4 cm=8 cm.

In step S34, the value of the device parameter is adjusted based on the movement change of the gesture and the scale mapping relationship.

In some embodiments, if the gesture moves within the ineffective movement range in response, the adjustment of the value of the device parameter is suspended. That is, during the movement of the gesture, if the gesture exceeds the effective movement range and moves within the ineffective movement range, the current movement is considered to be invalid. If the movement change of the gesture continues to be determined when moving within the ineffective movement range, it is easy for the value of the device parameter to change suddenly. In order to avoid affecting the user experience, the adjustment of the value of the device parameter is suspended.

In other embodiments, based on the movement change of the gesture and the scale mapping relationship, before adjusting the value of the device parameter, it can be determined whether there is a valid movement range at present. If there is a valid movement range, and the gesture moves within the valid movement range, the movement change of the gesture is determined in real time, and the value of the device parameter is determined to be adjusted. If there is a valid movement range, and the gesture does not move within the valid movement range or the gesture moves out of the valid movement range during the movement, the value of the device parameter is suspended. If there is no valid movement range, the effective movement range can be determined by the initial position of the gesture movement. In some possible implementations, if there is a valid movement range, and the gesture does not move within the valid movement range or the gesture moves out of the valid movement range during the movement, the electronic device can output a prompt message to prompt the user to adjust the value of the device parameter within the valid movement range. The way of outputting the prompt message can be to display the valid movement range on the display interface of the electronic device, or to prompt the user to move in real time by voice or text, so that the user moves to the effective movement range to adjust the value of the device parameter.

In some other embodiments, after pausing to adjust the value of the device parameter, if within the valid time range, the gesture is monitored to move within the valid movement range again, it can be considered that the user still has the need to adjust the value of the device parameter, and then on the basis of the current device parameters, the value of the device parameter continues to be adjusted based on the movement change of the gesture and the scale mapping relationship.

In some other embodiments, if the gesture is moving within the effective moving range, the value of the device parameter can be adjusted in real time based on the scale mapping relationship. If the gesture is stationary during the movement within the effective moving range, it can be determined whether to continue adjusting the device parameter based on the duration of the gesture being stationary. If the duration of the stationary state is less than the effective time range, the value of the device parameter can be adjusted based on the current device parameter and the amount of movement change of the gesture and the scale mapping relationship. If the duration of the stationary state is greater than or equal to the effective time range, it indicates that the user currently has no need to continue adjusting the device parameter, and the adjustment of the value of the device parameter can be terminated.

In some other embodiments, in the smart terminal, a gesture shape having the function of adjusting the progress bar is pre-stored by a preset model. After the image acquisition device acquires the gesture, the gesture is matched with the gesture shape pre-stored in the preset model. If the match is successful, it is determined that the acquired gesture has the gesture shape having the function of adjusting the progress bar. Preferably, the preset model can be an AI model.

In some other embodiments, the adjustment control may include: a progress bar. And the type of progress bar displayed on the electronic device has a corresponding relationship with the moving direction of the gesture having the gesture shape of adjusting the device parameter. Different moving directions correspond to different types of progress bars. When it is determined that the current gesture has a gesture shape for adjusting the progress of the progress bar, the corresponding type of progress bar can be determined and displayed according to the moving direction of the gesture. In some possible implementations, the type of progress bar displayed by the electronic device is associated with the application scenario used by the electronic device. For example: Taking the electronic device as a TV as an example, when the TV device is in the process of playing a multimedia file, the type of progress bar may include a playback progress bar and a volume progress bar. A gesture moving in the horizontal direction may be established in a corresponding relationship with the playback progress bar, and then when the gesture moves in the horizontal direction, the progress of the playback progress bar is adjusted. A gesture moving in the vertical direction may be established in a corresponding relationship with the volume progress bar, and then when the gesture moves in the vertical direction, the progress of the volume playback progress bar.

In some implementation scenarios, taking the gesture shape of adjusting the progress bar as a fist and the corresponding type of the progress bar as a volume progress bar as an example, the adjustment process of the progress bar can be shown in Figure 10. Figure 10 is a schematic diagram of another device adjustment method according to an exemplary embodiment.

Human body data is collected by an image acquisition device of an electronic device, and whether a gesture is collected in the human body data is analyzed. After determining that a gesture is collected, the AI model is used to determine whether the collected gesture is a gesture shape with an adjustment progress bar progress. That is, determine whether the collected gesture includes a fist. If it is determined that a fist is collected, the size (height and/or width) of the fist is calculated. In the case where the fist moves, and it is determined that the fist moves within the effective movement range, the movement change of the fist is determined based on the initial position of the fist movement. Based on the scale mapping relationship between the size of the fist and the adjustment interval of the volume progress bar, the progress adjustment change corresponding to the movement change is determined, and then the progress of the volume progress bar is adjusted. If the fist moves within the ineffective movement range, the progress of the volume progress bar is suspended and no processing is performed.

Based on the same concept, the embodiment of the present disclosure also provides a device adjustment device applied to an electronic device. In some possible implementations, the electronic device may include an image acquisition device.

It is understandable that the device adjustment device provided in the embodiment of the present disclosure includes hardware structures and/or software modules corresponding to the execution of each function in order to realize the above functions. In combination with the modules and algorithm steps of each example disclosed in the embodiment of the present disclosure, the embodiment of the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the technical solution of the embodiment of the present disclosure.

Fig. 11 is a block diagram of a device adjustment apparatus according to an exemplary embodiment. Referring to Fig. 11 , the device adjustment apparatus 100 includes a data acquisition module 101 , a data analysis module 102 , a data processing module 103 and an instruction execution module 104 .

The data acquisition module 101 is used to acquire the human body data in front of the electronic device. In some embodiments, the data acquisition module 101 can determine and acquire the human body data in front of the electronic device through the images acquired by the image acquisition device.

The data analysis module 102 is used to match the collected human body data with the gesture shape in the preset model to determine that the user's current gesture is a gesture shape with the progress of the progress bar. The preset model can be an artificial intelligence (AI) model.

The data processing module 103 is used to use any of the above progress bar control methods to determine the proportional mapping relationship between the gesture shape and size and the progress bar adjustment interval, and the progress adjustment change amount of the progress bar corresponding to the gesture movement change amount.

The instruction execution module 104 is used to adjust the progress of the progress bar.

Fig. 12 is a block diagram of another device adjustment apparatus according to an exemplary embodiment. Referring to Fig. 12 , the device adjustment apparatus 200 includes a display module 201 , a determination module 202 and an adjustment module 203 .

The display module 201 is used for displaying the adjustment control of the device parameter corresponding to the gesture shape on the electronic device in response to the collected gesture and determining that the gesture has a gesture shape for adjusting the device parameter.

The determination module 202 is used to determine the scale mapping relationship between the gesture shape size and the adjustment range of the adjustment control.

The adjustment module 203 is used to adjust the value of the device parameter based on the movement change of the gesture and the scale mapping relationship when the gesture moves.

In some embodiments, the determination module 202 determines the scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control in the following manner: based on the gesture shape size and the number of mappings of the gesture shape size in the adjustment interval, determine the moving distance of the adjustment interval corresponding to the gesture shape size. Based on the adjustment interval and the moving distance, determine the unit adjustment amount corresponding to the unit moving distance. Map the unit adjustment amount to the unit moving distance to determine the scale mapping relationship between the gesture shape size and the adjustment interval.

In other embodiments, the adjustment module 203 adjusts the value of the device parameter based on the movement change of the gesture and the scale mapping relationship in the following manner: the initial position of the gesture movement is matched with the initial parameter value of the device parameter. The direction of the gesture movement is determined, and the movement change of the gesture relative to the initial position in the direction is determined. Based on the movement change and the scale mapping relationship, the adjustment change corresponding to the movement change is determined. Based on the correspondence between the gesture movement direction and the progress bar adjustment direction, the adjustment change is adjusted based on the initial parameter value in the direction matching the gesture movement.

In some other embodiments, the determination module 202 is further used to: determine whether the gesture moves within the effective movement range.

In some other embodiments, the adjustment module 203 is further used to: in response to the gesture moving within the ineffective movement range, suspend adjusting the value of the device parameter.

In some other embodiments, the adjustment module 203 is also used to: if the gesture is monitored to move within the effective movement range within the effective time range, then based on the current adjustment progress, continue to adjust the value of the device parameter based on the movement change of the gesture and the scale mapping relationship.

In some other embodiments, the adjustment control includes: a progress bar; the display module 201 displays the adjustment control of the device parameter corresponding to the gesture shape on the electronic device in the following manner: based on the mapping relationship between the moving direction and the progress bar type, according to the moving direction of the gesture, the progress bar of the device parameter corresponding to the gesture shape is determined and displayed on the electronic device, wherein different moving directions correspond to different types of progress bars.

In some further embodiments, the electronic device includes at least an image acquisition device, and the image acquisition device is used to acquire gestures.

Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

Fig. 13 is a block diagram of an electronic device according to an exemplary embodiment. For example, the electronic device 300 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

13 , the electronic device 300 may include one or more of the following components: a processing component 302 , a memory 304 , a power component 306 , a multimedia component 308 , an audio component 310 , an input/output (I/O) interface 312 , a sensor component 314 , and a communication component 316 .

The processing component 302 generally controls the overall operation of the electronic device 300, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 302 may include one or more modules to facilitate the interaction between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate the interaction between the multimedia component 308 and the processing component 302.

The memory 304 is configured to store various types of data to support operations on the electronic device 300. Examples of such data include instructions for any application or method operating on the electronic device 300, contact data, phone book data, messages, pictures, videos, etc. The memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

The power component 306 provides power to the various components of the electronic device 300. The power component 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 300.

The multimedia component 308 includes a screen that provides an output interface between the electronic device 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 includes a front camera and/or a rear camera. When the electronic device 300 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and the rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 310 is configured to output and/or input audio signals. For example, the audio component 310 includes a microphone (MIC), and when the electronic device 300 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 304 or sent via the communication component 316. In some embodiments, the audio component 310 also includes a speaker for outputting audio signals.

I/O interface 312 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 314 includes one or more sensors for providing various aspects of status assessment for the electronic device 300. For example, the sensor assembly 314 can detect the open/closed state of the electronic device 300, the relative positioning of the components, such as the display and keypad of the electronic device 300, and the sensor assembly 314 can also detect the position change of the electronic device 300 or a component of the electronic device 300, the presence or absence of user contact with the electronic device 300, the orientation or acceleration/deceleration of the electronic device 300, and the temperature change of the electronic device 300. The sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 314 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 316 is configured to facilitate wired or wireless communication between the electronic device 300 and other devices. The electronic device 300 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, the electronic device 300 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform any of the above-mentioned device adjustment methods.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 304 including instructions, and the instructions can be executed by a processor 320 of an electronic device 300 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

It is further understood that in the present disclosure, "plurality" refers to two or more than two, and other quantifiers are similar thereto. "And/or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and/or B may represent: A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects before and after are in an "or" relationship. The singular forms "a", "the", and "the" are also intended to include plural forms, unless the context clearly indicates other meanings.

It is further understood that the terms "first", "second", etc. are used to describe various information, but such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other, and do not indicate a specific order or degree of importance. In fact, the expressions "first", "second", etc. can be used interchangeably. For example, without departing from the scope of the present disclosure, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as the first information.

It can be further understood that, unless otherwise specified, “connection” includes a direct connection without other components between the two, and also includes an indirect connection with other components between the two.

It is further understood that, although the operations are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood as requiring the operations to be performed in the specific order shown or in a serial order, or requiring the execution of all the operations shown to obtain the desired results. In certain environments, multitasking and parallel processing may be advantageous.

Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (15)

1. A device adjustment method, characterized in that it is applied to an electronic device, and the device adjustment method comprises: In response to collecting a gesture and determining that the gesture has a gesture shape for adjusting a device parameter, displaying an adjustment control for the device parameter corresponding to the gesture shape on the electronic device; Determine a proportional mapping relationship between the size of the gesture shape and the adjustment interval of the adjustment control; When the gesture moves, adjusting the value of the device parameter based on the movement change of the gesture and the scale mapping relationship; Wherein, determining the scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control includes: Determining a moving distance of the adjustment interval corresponding to the gesture shape size based on the gesture shape size and the number of mappings of the gesture shape size within the adjustment interval; Based on the adjustment interval and the moving distance, determining a unit adjustment amount corresponding to a unit moving distance; The unit adjustment amount is mapped to the unit movement distance to determine a scale mapping relationship between the gesture shape size and the adjustment interval. 2. The device adjustment method according to claim 1, characterized in that adjusting the value of the device parameter based on the movement change of the gesture and the scale mapping relationship comprises: Matching the initial position of the gesture movement to the initial parameter value of the device parameter; Determine the direction in which the gesture moves, and determine the amount of movement of the gesture in the direction relative to the initial position; Based on the movement change amount and the scale mapping relationship, determining the adjustment change amount corresponding to the movement change amount; Based on the correspondence between the gesture movement direction and the progress bar adjustment direction, the adjustment change amount is adjusted on the basis of the initial parameter value in the direction matching the gesture movement. 3. The device adjustment method according to any one of claims 1 to 2, characterized in that before adjusting the value of the device parameter based on the movement change of the gesture and the scale mapping relationship, the device adjustment method further comprises: It is determined that the gesture moves within a valid movement range. 4. The device adjustment method according to any one of claims 1 to 2, characterized in that the device adjustment method further comprises: In response to the gesture moving within the ineffective movement range, adjusting the value of the device parameter is suspended. 5. The device adjustment method according to claim 4, characterized in that after pausing the adjustment of the value of the device parameter, the device adjustment method further comprises: If the gesture is detected to move within the effective movement range within the effective time range, then based on the current adjustment progress, the value of the device parameter continues to be adjusted based on the movement change of the gesture and the scale mapping relationship. 6. The device adjustment method according to claim 1, characterized in that the adjustment control comprises: a progress bar; Displaying an adjustment control of the device parameter corresponding to the gesture shape on the electronic device includes: Based on the mapping relationship between the moving direction and the progress bar type, according to the moving direction of the gesture, a progress bar of the device parameter corresponding to the gesture shape is determined and displayed on the electronic device, wherein different moving directions correspond to different progress bar types. 7. A device adjustment device, characterized in that it is applied to electronic equipment, and the device adjustment device comprises: a display module, configured to, in response to collecting a gesture and determining that the gesture has a gesture shape for adjusting a device parameter, display an adjustment control for the device parameter corresponding to the gesture shape on the electronic device; A determination module, used to determine the scale mapping relationship between the gesture shape size and the adjustment interval of the adjustment control; based on the gesture shape size and the number of mappings of the gesture shape size in the adjustment interval, determine the moving distance of the adjustment interval corresponding to the gesture shape size; Based on the adjustment interval and the moving distance, determining a unit adjustment amount corresponding to a unit moving distance; Mapping the unit adjustment amount with the unit movement distance to determine a scale mapping relationship between the gesture shape size and the adjustment interval; The adjustment module is used to adjust the value of the device parameter based on the movement change of the gesture and the scale mapping relationship when the gesture moves. 8. The device adjustment apparatus according to claim 7, characterized in that the adjustment module adjusts the value of the device parameter based on the movement change of the gesture and the scale mapping relationship in the following manner: Matching the initial position of the gesture movement to the initial parameter value of the device parameter; Determine the direction in which the gesture moves, and determine the amount of movement of the gesture in the direction relative to the initial position; Based on the movement change amount and the scale mapping relationship, determining the adjustment change amount corresponding to the movement change amount; Based on the correspondence between the gesture movement direction and the progress bar adjustment direction, the adjustment change amount is adjusted on the basis of the initial parameter value in the direction matching the gesture movement. 9. The device adjustment apparatus according to any one of claims 7 to 8, characterized in that the determination module is further used to: It is determined that the gesture moves within a valid movement range. 10. The equipment adjustment device according to any one of claims 7 to 8, characterized in that the adjustment module is further used for: In response to the gesture moving within the ineffective movement range, adjusting the value of the device parameter is suspended. 11. The equipment adjustment device according to claim 10, characterized in that the adjustment module is further used for: If the gesture is detected to move within the effective movement range within the effective time range, then based on the current adjustment progress, the value of the device parameter continues to be adjusted based on the movement change of the gesture and the scale mapping relationship. 12. The device adjustment apparatus according to claim 7, wherein the adjustment control comprises: a progress bar; and the display module displays the adjustment control of the device parameter corresponding to the gesture shape on the electronic device in the following manner: Based on the mapping relationship between the moving direction and the progress bar type, according to the moving direction of the gesture, a progress bar of the device parameter corresponding to the gesture shape is determined and displayed on the electronic device, wherein different moving directions correspond to different progress bar types. 13. The device adjustment device according to claim 7, characterized in that the electronic device at least comprises an image acquisition device, and the image acquisition device is used to acquire the gesture. 14. An electronic device, characterized in that the electronic device comprises: a memory for storing instructions; and A processor, configured to call the instructions stored in the memory to execute the device adjustment method as described in any one of claims 1 to 6. 15. A computer-readable storage medium, characterized in that it stores instructions, and when the instructions are executed by a processor, the device adjustment method according to any one of claims 1 to 6 is executed.