CN112843647A - Stretching training control system and method for cheering exercises - Google Patents
Stretching training control system and method for cheering exercises Download PDFInfo
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- 238000012549 training Methods 0.000 title claims abstract description 95
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- 238000001514 detection method Methods 0.000 claims abstract description 26
- 238000011156 evaluation Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims description 47
- 238000004891 communication Methods 0.000 claims description 10
- 230000003993 interaction Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 9
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- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
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- 208000027418 Wounds and injury Diseases 0.000 abstract description 5
- 230000006378 damage Effects 0.000 abstract description 5
- 230000036541 health Effects 0.000 abstract description 5
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B69/00—Training appliances or apparatus for special sports
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
- A63B2071/0625—Emitting sound, noise or music
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Abstract
The invention belongs to the technical field of gymnastics training and discloses a stretching training control system and method for a cheering gymnastics. According to the invention, the action recognition detection module is used for carrying out action recognition on the collected image information and evaluating the accuracy of the recognized action information, so that the action information of cheering gym training can be rapidly recognized, action evaluation and training feedback are carried out in real time, the action of athletes is evaluated and guided, and the learning effect is improved; and can carry out real-time supervision to sportsman's health through health sign detection module, avoid training intensity too big, cause the injury to sportsman, the security is high.
Description
Technical Field
The invention belongs to the technical field of gymnastics training, and particularly relates to a stretching training control system and method for a cheering exercise.
Background
At present: the cheering gym is a sports item which is deeply loved by the masses, has extremely strong popularity and integrates gymnastics, dancing, music, body building and entertainment. The multifunctional health-care exerciser is also a collective project for multiple people, and along with the continuous improvement of the living standard of people, the practical values of health care, medical treatment, body building and entertainment which are peculiar to the cheering exercises are more and more valued by people. Attract the fans of different ages to participate, and form a consumer group with a certain scale. The special programs with competition and popularization as contents are produced by all levels of television stations, and the watching frequency of the special programs is far higher than that of other programs.
In the usual practice of cheering gym, the training of various strengths of athletes is needed, and the stretching training is one of the important items. If the training is not qualified at ordinary times, the training can cause injury easily in later-period performance. However, the existing stretching training mode is only assisted by simple instruments, lacks of systematic training mode and has limited training effect. In addition, in the training process, the protection measures are not comprehensive, so that the injury to the trainers is easily caused.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the existing stretching training mode is only assisted by simple instruments, lacks of a systematic training mode and has limited training effect.
(2) In the training process, the protection measures are not comprehensive, so that the injury to the trainers is easily caused.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a stretching training control system and method for cheering exercises.
The invention is realized in this way, and a control method for the stretching training of the cheering exercise comprises the following steps:
firstly, inputting preset parameters and checking the working state of a system through a display screen, playing a teaching image through the display screen, acquiring image information in the cheering exercise training process through a camera in a training image acquisition module, performing action recognition on the acquired image information through an action recognition detection module, and evaluating the accuracy of the recognized action information;
when the motion recognition detection module performs motion recognition on the acquired image information, the adopted recognition method comprises the following steps:
training based on the sample video frame sequence and the sample video frame sequence label to obtain a motion recognition model; the sample video frame sequence label comprises category information of one or more actions corresponding to each time in the sample video frame sequence;
inputting a frame sequence in image information to be identified into an action identification model, wherein the action identification model is used for identifying action types in a video based on a first action characteristic and a time domain and space domain characteristic obtained by a first video frame sequence to be identified;
obtaining action recognition results output by an action recognition model, wherein the action recognition results comprise one or more action categories corresponding to each time in the image information frame sequence;
the evaluating the accuracy of the identified action information comprises:
identifying the skeleton according to the identified action information, and extracting the positions of the trunk and the joints of the human body in the action information;
acquiring key information;
carrying out multi-dimensional comparison;
calculating the action accuracy, and dividing the action accuracy into different evaluation grades according to the accuracy numerical value;
secondly, detecting and acquiring physical sign parameters of the athlete in real time through a plurality of wireless sensors with different functions in the physical sign detection module, processing and analyzing the acquired parameters through a control host in the central processing and control module, and performing coordination control on each controlled module according to a processing result and preset parameters;
transmitting the acquired image information and the acquired physical sign parameter information to a network server and a remote monitoring terminal through a wireless signal transmitter in the communication module, and storing the acquired image information and the physical sign parameter information through the network server;
automatically controlling and adjusting the stretching angle, the stretching force and the stretching speed of a power system of the stretching device through a stretching parameter adjusting module according to the recognized action information and the collected physical sign parameters, collecting voice information in the environment through a voice recognition control module, and manually controlling the working state of the stretching device according to the voice information;
step five, when abnormal data is detected through the voice reminding module, an alarm is sent out through the voice broadcaster;
and step six, evaluating the training result through a training result evaluation module according to the training time of the athlete and the stretching parameters during training, and displaying the evaluation result through a human-computer interaction module.
Further, in step one, the first motion characteristics can characterize the time distribution of each category motion in the first video frame sequence and the correlation between each category motion.
Further, in the first step, the key information includes a real-time action skeleton and joints.
Further, the acquiring of the key information includes: and respectively corresponding the skeleton and joint information of the motion in the collected motion image to the skeleton and joint information extracted by the standard motion one by one, grouping the corresponding results, and performing grouping calculation.
Further, in step one, the multidimensional comparison includes: and calculating a position comparison result of the motion joint of the collected image and the standard joint, and a movement speed comparison result of the motion framework of the collected image and the standard motion framework.
Further, in the fourth step, the artificially controlling the working state of the stretching device according to the voice information includes:
(1) collecting voice information in the environment through a voice collector, and extracting voiceprint characteristics and voice content of a user;
(2) the extracted voiceprint features are paired with a voiceprint template stored in a server, and the identity of the user is verified;
(3) and executing a preset control instruction after the user identity passes.
Further, the executing the preset control instruction includes:
the method comprises the steps of recognizing voice data through a local voice recognition model, comparing the voice data with word models in voice instruction information prestored in a server, defining the voice data as a control instruction corresponding to the word models if the similarity between the voice data and at least one word model is larger than a preset threshold, and carrying out no operation if the similarity is not larger than the preset threshold.
Another object of the present invention is to provide a tension training control system for a cheering exercise using the tension training control method for a cheering exercise, the tension training control system for a cheering exercise comprising:
the training image acquisition module is connected with the central processing and control module and is used for acquiring image information in the cheering exercise training process through the camera;
the action recognition detection module is connected with the central processing and control module and is used for carrying out action recognition on the collected image information and evaluating the accuracy of the recognized action information;
the body sign detection module is connected with the central processing and control module and is used for detecting and acquiring the physical sign parameters of the athletes in real time through various wireless sensors with different functions;
the communication module is connected with the central processing and control module and is used for transmitting the acquired image information and the acquired physical sign parameter information to a network server and a remote monitoring terminal through a wireless signal transmitter;
the server module is connected with the central processing and control module and used for storing the acquired image information and the physical sign parameter information through the network server;
the central processing and control module is connected with the training image acquisition module, the action recognition detection module, the body sign detection module, the communication module, the server module, the stretching parameter adjustment module, the training result evaluation module, the voice recognition control module, the man-machine interaction module and the voice reminding module, and is used for processing and analyzing the acquired parameters through the control host and carrying out coordination control on each controlled module according to the processing result and preset parameters;
the stretching parameter adjusting module is connected with the central processing and controlling module and is used for controlling and adjusting the stretching angle, the force and the speed of a power system of the stretching device according to the recognized action information and the collected physical sign parameters;
the training result evaluation module is connected with the central processing and control module and is used for evaluating the training result according to the training time of the athlete and the stretching parameters during training;
the voice recognition control module is connected with the central processing and control module and used for collecting voice information in the environment through the voice collector and controlling the working state of the stretching device according to the voice information;
the human-computer interaction module is connected with the central processing and control module and used for playing the teaching images through the display screen, inputting preset parameters through the display screen and checking the working state of the system;
and the voice reminding module is connected with the central processing and control module and used for sending alarm reminding through the voice broadcast device when abnormal data is detected.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the method for controlling a stretching training for cheering maneuvers when executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method for controlling a training exercise for cheering.
By combining all the technical schemes, the invention has the advantages and positive effects that:
according to the invention, the action recognition detection module is used for carrying out action recognition on the collected image information and evaluating the accuracy of the recognized action information, so that the action information of cheering gym training can be rapidly recognized, action evaluation and training feedback are carried out in real time, the action of athletes is evaluated and guided, and the learning effect is improved; and the wireless sensor through multiple different functions in the health sign detection module carries out real-time detection to sportsman's sign parameter and gathers, can carry out real-time supervision to sportsman's health state, avoids training intensity too big, causes the injury to sportsman, and the security is high.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
FIG. 1 is a flowchart of a method for controlling a stretching exercise for a cheering exercise according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for identifying actions of acquired image information according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for evaluating accuracy of identified motion information according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for manually controlling an operating state of a stretching device according to voice information according to an embodiment of the present invention.
FIG. 5 is a block diagram of a stretch training control system for cheering maneuvers according to an embodiment of the present invention.
In fig. 5: 1. training an image acquisition module; 2. a motion recognition detection module; 3. a body sign detection module; 4. a communication module; 5. a server module; 6. a central processing and control module; 7. a stretching parameter adjusting module; 8. a training result evaluation module; 9. a voice recognition control module; 10. a human-computer interaction module; 11. and a voice reminding module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems of the prior art, the present invention provides a system and method for controlling stretching training for cheering exercises, which will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the stretch training control method for cheering exercises according to the embodiment of the present invention includes:
s101, inputting preset parameters and checking the working state of a system through a display screen, playing teaching images through the display screen, collecting image information in the cheering exercise training process through a camera in a training image collecting module, carrying out action recognition on the collected image information through an action recognition detecting module, and evaluating the accuracy of the recognized action information;
s102, detecting and collecting physical sign parameters of the athlete in real time through a plurality of wireless sensors with different functions in the physical sign detection module, processing and analyzing the collected parameters through a control host in the central processing and control module, and performing coordination control on each controlled module according to a processing result and preset parameters;
s103, transmitting the acquired image information and the acquired physical sign parameter information to a network server and a remote monitoring terminal through a wireless signal transmitter in the communication module, and storing the acquired image information and the physical sign parameter information through the network server;
s104, automatically controlling and adjusting the stretching angle, the stretching force and the stretching speed of a power system of the stretching device through the stretching parameter adjusting module according to the recognized action information and the collected physical sign parameters, collecting voice information in the environment through the voice recognition control module, and manually controlling the working state of the stretching device according to the voice information;
s105, when abnormal data are detected through the voice reminding module, sending an alarm reminding through the voice broadcaster;
and S106, evaluating the training result through the training result evaluation module according to the training time of the athlete and the stretching parameters during training, and displaying the evaluation result through the human-computer interaction module.
As shown in fig. 2, the identification method adopted when the motion recognition detection module identifies the motion of the acquired image information according to the embodiment of the present invention includes:
s201, obtaining a motion recognition model based on a sample video frame sequence and sample video frame sequence label training; the sample video frame sequence label comprises category information of one or more actions corresponding to each time in the sample video frame sequence;
s202, inputting a frame sequence in image information to be identified into an action identification model, wherein the action identification model is used for identifying action types in a video based on a first action characteristic and a time domain and space domain characteristic obtained by a first video frame sequence to be identified;
s203, obtaining the action recognition result output by the action recognition model, wherein the action recognition result comprises one or more action categories corresponding to each time in the image information frame sequence.
As shown in fig. 3, the evaluating the accuracy of the identified motion information according to the embodiment of the present invention includes:
s301, identifying the skeleton according to the identified action information, and extracting the positions of the trunk and the joints of the human body in the action information;
s302, key information is obtained;
s303, carrying out multi-dimensional comparison;
and S304, calculating the action accuracy, and dividing the action accuracy into different evaluation grades according to the accuracy numerical value.
In step S101, the first motion feature provided by the embodiment of the present invention can characterize the time distribution of each category motion in the first video frame sequence and the association between each category motion.
In step S101, the key information provided in the embodiment of the present invention includes a real-time motion skeleton and joints.
The key information acquisition method provided by the embodiment of the invention comprises the following steps: and respectively corresponding the skeleton and joint information of the motion in the collected motion image to the skeleton and joint information extracted by the standard motion one by one, grouping the corresponding results, and performing grouping calculation.
In step S101, the multidimensional comparison provided by the embodiment of the present invention includes: and calculating a position comparison result of the motion joint of the collected image and the standard joint, and a movement speed comparison result of the motion framework of the collected image and the standard motion framework.
As shown in fig. 4, in step S104, the manual control of the operating state of the stretching device according to the voice information according to the embodiment of the present invention includes:
s401, collecting voice information in the environment through a voice collector, and extracting voiceprint characteristics and voice content of a user;
s402, carrying out the pair of the extracted voiceprint features and the voiceprint template stored in the server, and verifying the identity of the user;
and S403, executing a preset control instruction after the user identity passes.
The execution of the preset control instruction provided by the embodiment of the invention comprises the following steps:
the method comprises the steps of recognizing voice data through a local voice recognition model, comparing the voice data with word models in voice instruction information prestored in a server, defining the voice data as a control instruction corresponding to the word models if the similarity between the voice data and at least one word model is larger than a preset threshold, and carrying out no operation if the similarity is not larger than the preset threshold.
As shown in fig. 5, the stretching training control system for cheering exercises according to the embodiment of the present invention includes:
the training image acquisition module 1 is connected with the central processing and control module 6 and is used for acquiring image information in the training process of the cheering exercise through a camera;
the action recognition detection module 2 is connected with the central processing and control module 6 and is used for carrying out action recognition on the collected image information and evaluating the accuracy of the recognized action information;
the physical sign detection module 3 is connected with the central processing and control module 6 and is used for detecting and acquiring physical sign parameters of athletes in real time through various wireless sensors with different functions;
the communication module 4 is connected with the central processing and control module 6 and is used for transmitting the acquired image information and the acquired physical sign parameter information to a network server and a remote monitoring terminal through a wireless signal transmitter;
the server module 5 is connected with the central processing and control module 6 and used for storing the acquired image information and the physical sign parameter information through a network server;
the central processing and control module 6 is connected with the training image acquisition module 1, the action recognition detection module 2, the body sign detection module 3, the communication module 4, the server module 5, the stretching parameter adjusting module 7, the training result evaluation module 8, the voice recognition control module 9, the human-computer interaction module 10 and the voice reminding module 11, and is used for processing and analyzing the acquired parameters through the control host and carrying out coordination control on each controlled module according to the processing result and preset parameters;
the stretching parameter adjusting module 7 is connected with the central processing and controlling module 6 and is used for controlling and adjusting the stretching angle, the force and the speed of a power system of the stretching device according to the recognized action information and the collected physical sign parameters;
the training result evaluation module 8 is connected with the central processing and control module 6 and is used for evaluating the training result according to the training time of the athlete and the stretching parameters during training;
the voice recognition control module 9 is connected with the central processing and control module 6 and is used for collecting voice information in the environment through the voice collector and controlling the working state of the stretching device according to the voice information;
the human-computer interaction module 10 is connected with the central processing and control module 6 and used for playing the teaching images through the display screen, inputting preset parameters through the display screen and checking the working state of the system;
and the voice reminding module 11 is connected with the central processing and control module 6 and used for sending alarm reminding through the voice broadcast device when abnormal data is detected.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
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| CN202110027306.6A CN112843647A (en) | 2021-01-09 | 2021-01-09 | Stretching training control system and method for cheering exercises |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118865493A (en) * | 2024-07-01 | 2024-10-29 | 呼伦贝尔学院 | Gymnastics rotation training device and method of use thereof |
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