CN114452622A - Intelligent movement guidance system and method based on visual AI - Google Patents
Intelligent movement guidance system and method based on visual AI Download PDFInfo
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- CN114452622A CN114452622A CN202210079487.1A CN202210079487A CN114452622A CN 114452622 A CN114452622 A CN 114452622A CN 202210079487 A CN202210079487 A CN 202210079487A CN 114452622 A CN114452622 A CN 114452622A
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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
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0062—Monitoring athletic performances, e.g. for determining the work of a user on an exercise apparatus, the completed jogging or cycling distance
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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
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
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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
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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
- A63B2071/0647—Visualisation of executed movements
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- Physical Education & Sports Medicine (AREA)
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Abstract
The invention discloses an intelligent motion guidance system based on visual AI and a method thereof, wherein the system comprises: the device comprises a human body data acquisition module, an action induction module, a motion guidance module, a data analysis module and an action correction module; the method comprises the following steps: acquiring basic information, past movement data and physical conditions of a human body of a user, and recording and storing the basic information data; receiving and recording the behavior and motion data; providing motion guidance data and recording a user motion process image; comparing the behavior and motion data and the image data with the motion guidance data, grading according to the difference, and analyzing whether the behavior and motion of the motion are standard or not according to the grade; and receiving the analysis result, correcting the user behavior when the behavior of the human body movement is different, and repeating the teaching. The invention provides motion guidance and action correction, and makes a corresponding motion plan in a targeted manner, thereby being more beneficial to better motion of sporters.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to an intelligent motion guidance system based on visual AI and a method thereof.
Background
Reasonable exercise mode and amount are one of the important methods for keeping the health. The athletic ability is the category of sports, in popular terms, in order to better complete the training goal, the individual needs to have the athletic quality, which is the external performance of the human body physiological function in the aspect of sports, and the main measurement indexes are time and distance, which are expressed as the combination of group number, times and actions. The exercise goal is usually the expression of human physiological functions starting around the health requirement, is the biological category, and refers to the change level of human physiological functions and structures, and the measurement standard is a medical index, so the exercise goal has close relation with human health. How to make a reasonable and effective exercise scheme is a main target for establishing an intelligent exercise guidance system.
The functional exercise test (FMS for short) comprises 7 FMS actions of over-top deep squat, single-leg hurdling, straight-line arrow walking, shoulder joint flexibility, straight-leg lifting, trunk flexion and extension stability and rotation stability, can be widely used for evaluating basic exercise functions of various crowds, can effectively detect the individual capabilities of action control stability, body balance capability, softness, proprioception and the like, and identifies function limitation and asymmetric development of the individuals.
At present, when a novice exercises, because the body is injured due to the fact that the exercise is unknown and excessive exercise is likely to be caused, the exercise is not in place or the exercise cannot be achieved due to the fact that the exercise is not standard, the exercise effect can be better achieved through guidance, but the current exercise guidance is often directly guided through a training instructor, and the exercise cannot be performed on the trainer in a standardized range due to the fact that the method is inaccurate when guidance is performed.
Therefore, how to provide an intelligent exercise guidance system based on visual AI and a method thereof to better guide and train human body exercise is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of this, the present invention provides an intelligent motion guidance system based on visual AI and a method thereof.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent motion guidance system based on visual AI, based on AI sensing means for recording behavioral motion data when a human body moves, comprising: the device comprises a human body data acquisition module, an action induction module, a motion guidance module, a data analysis module and an action correction module;
the human body data acquisition module is used for acquiring basic information, past movement data and physical conditions of a human body of a user, and recording and storing the basic information data;
the motion sensing module is in communication connection with the AI sensing device and is used for receiving and recording the behavior and motion data recorded by the AI sensing device;
the action guidance module is used for providing motion guidance data and recording a user motion process image;
the data analysis module is respectively connected with the motion sensing module and the action guidance module and is used for comparing the behavior and motion data received by the motion sensing module and the image data acquired by the action guidance module with the motion guidance data in the action guidance module, scoring according to differences and analyzing whether the behavior and the action of the motion are standard or not according to the degree of the score;
the action correcting module is connected with the data analyzing module and used for receiving the analysis result of the data analyzing module, correcting the action of the user when the action of the human body movement is different and repeating the teaching.
Preferably, in the human body data acquisition module, the basic information of the human body includes a name, a sex, a height, a weight and an age of the human body.
Preferably, the action guidance module comprises a motion video playing module, a video recording module, a video storage module and a video transmission module;
the video playing module is used for playing a teaching motion video, providing the teaching motion video for a user to refer and learn motion;
the video recording module is used for recording the behavior actions of the user in the motion process;
the video storage module is used for storing the recorded motion video;
the video transmission module is used for transmitting the stored data to the data analysis module.
Preferably, the data analysis module is further configured to formulate a training task according to the self condition for the user, accurately limit training and rest time, and present a data report after training.
Preferably, the action correcting module comprises an error action recording module, an error action reminding module and an error action circulating playing module;
the error action recording module is used for comparing the standard actions of the user and the video playing and recording and storing the actions with errors;
the error action reminding module is used for sending an alarm to remind a user that a motion error occurs when the error occurs;
the error action circulating playing module is used for circularly playing the action at the error position for multiple times and providing the action for the user to learn.
An intelligent motion guidance method based on visual AI, based on an AI sensing device, the AI sensing device is used for recording behavioral and motion data when a human body moves, comprising the following steps:
s1, acquiring basic information, past movement data and physical conditions of a human body of a user, and recording and storing the basic information data;
s2, receiving and recording the behavior and motion data recorded by the AI sensing device;
s3, providing motion guidance data and recording a user motion process image;
s4, comparing the behavior and motion data and the image data with motion guidance data, scoring according to differences, and analyzing whether the behavior and motion of the motion are standard or not according to the score;
and S5, receiving the analysis result, correcting the user behavior when the behavior of the human body movement is different, and repeating the teaching.
Preferably, in S1, the basic information of the human body includes the name, sex, height, weight and age of the human body.
Preferably, the specific contents of S3 include:
playing a teaching motion video, providing the teaching motion video for a user to refer and learn motion;
recording the behavior action of the user in the motion process;
and storing the recorded motion video and sending data for data analysis.
Preferably, S4 further comprises a step of preparing a training task for the user to fit the user' S own situation, precisely defining training and rest time, and presenting data report after training.
Preferably, the specific contents of S5 include:
comparing the standard actions of the user and the video playing, and recording and storing the action with the error;
when errors occur, an alarm is given to remind a user that the motion errors occur;
and circularly playing the action at the error position for multiple times, and providing the action for the user to learn.
The technical scheme shows that the intelligent motion guidance system and the method thereof effectively replace the existing real-person motion guidance and provide a more intelligent mode for the sporter, the guidance system effectively combines with the visual AI system, the guidance content is more detailed, the motion action teaching and the motion action correction are carried out on the sporter before, during and after the motion guidance, and the corresponding motion plan is formulated according to the motion data of the sporter, so that the system is more beneficial to the better motion of the sporter, the damage to the body caused by excessive motion or motion action errors can not be caused, and the motion effect can not be caused because the motion amount can not be reached.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an intelligent motion guidance system based on visual AI according to the present invention;
FIG. 2 is a diagram illustrating a basic information composition of a human body in an intelligent motion guidance system based on visual AI according to the present invention;
FIG. 3 is a block diagram of an action guidance module of the intelligent motion guidance system based on visual AI according to the present invention;
fig. 4 is a block diagram of a motion correction module in the intelligent motion guidance system based on visual AI according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses an intelligent motion guidance system based on visual AI, based on an AI sensing device, the AI sensing device is used for recording behavioral and motion data when a human body moves, as shown in figures 1-4, the system comprises: the device comprises a human body data acquisition module, an action induction module, a motion guidance module, a data analysis module and an action correction module;
the human body data acquisition module is used for acquiring basic information, past movement data and physical conditions of a human body of a user, and recording and storing the basic information data;
the motion sensing module is in communication connection with the AI sensing device and is used for receiving and recording the behavior and motion data recorded by the AI sensing device;
the motion guidance module is used for providing motion guidance data and recording a motion process image of a user;
the data analysis module is respectively connected with the motion induction module and the action guidance module and is used for comparing the behavior and motion data received by the motion induction module and the image data acquired by the action guidance module with the motion guidance data in the action guidance module, grading according to the difference and analyzing whether the behavior and the action of the motion are standard or not according to the grade;
the action correcting module is connected with the data analyzing module and used for receiving the analysis result of the data analyzing module and correcting the user action and repeating the teaching when the action of the human body movement is different.
In order to further implement the above technical solution, in the human body data obtaining module, the basic information of the human body includes a name, a sex, a height, a weight and an age of the human body.
In order to further implement the technical scheme, the action guidance module comprises a motion video playing module, a video recording module, a video storage module and a video transmission module;
the video playing module is used for playing a teaching motion video, providing the teaching motion video for a user to refer and learn motion;
the video recording module is used for recording the behavior actions of the user in the motion process;
the video storage module is used for storing the recorded motion video;
the video transmission module is used for transmitting the stored data to the data analysis module.
In order to further implement the technical scheme, the data analysis module is further used for formulating a training task fitting the self condition for the user, accurately limiting training and rest time, and presenting a data report after training.
In order to further implement the technical scheme, the action correcting module comprises an error action recording module, an error action reminding module and an error action circulating playing module;
the error action recording module is used for comparing the standard actions of the user and the video playing and recording and storing the actions with errors;
the error action reminding module is used for sending an alarm when an error occurs to remind a user that the motion error occurs;
the error action circulating playing module is used for circularly playing the action at the error position for multiple times and providing the action for the user to learn.
The embodiment also discloses an intelligent motion guidance method based on visual AI, which is based on an AI sensing device, wherein the AI sensing device is used for recording behavior and motion data during human motion, and comprises the following steps:
s1, acquiring basic information, past movement data and physical conditions of a human body of a user, and recording and storing the basic information data;
s2, receiving and recording the behavior and motion data recorded by the AI sensing device;
s3, providing motion guidance data and recording a user motion process image;
s4, comparing the behavior and motion data and the image data with motion guidance data, scoring according to differences, and analyzing whether the behavior and motion of the motion are standard or not according to the score;
and S5, receiving the analysis result, correcting the user behavior when the behavior of the human body movement is different, and repeating the teaching.
In order to further implement the above technical solution, in S1, the basic information of the human body includes a name, a sex, a height, a weight, and an age of the human body.
In order to further implement the above technical solution, the specific content of S3 includes:
playing a teaching motion video, providing the teaching motion video for a user to refer and learn motion;
recording the behavior action of the user in the motion process;
and storing the recorded motion video and sending data for data analysis.
In order to further implement the above technical solution, S4 further includes formulating a training task to fit the user' S own situation, precisely defining training and rest time, and presenting a data report after training.
In order to further implement the above technical solution, the specific content of S5 includes:
comparing the standard actions of the user and the video playing, and recording and storing the action with the error;
when errors occur, an alarm is given to remind a user that the motion errors occur;
and circularly playing the action at the error position for multiple times, and providing the action for the user to learn.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An intelligent motion guidance system based on visual AI, based on AI sensing means for recording behavioral and motion data when a human body moves, comprising: the device comprises a human body data acquisition module, an action induction module, a motion guidance module, a data analysis module and an action correction module;
the human body data acquisition module is used for acquiring basic information, past movement data and physical conditions of a human body of a user, and recording and storing the basic information data;
the motion sensing module is in communication connection with the AI sensing device and is used for receiving and recording the behavior and motion data recorded by the AI sensing device;
the action guidance module is used for providing motion guidance data and recording a user motion process image;
the data analysis module is respectively connected with the motion sensing module and the action guidance module and is used for comparing the behavior and motion data received by the motion sensing module and the image data acquired by the action guidance module with the motion guidance data in the action guidance module, scoring according to differences and analyzing whether the behavior and the action of the motion are standard or not according to the degree of the score;
the action correcting module is connected with the data analyzing module and used for receiving the analysis result of the data analyzing module, correcting the action of the user when the action of the human body movement is different and repeating the teaching.
2. The intelligent motion guidance system based on visual AI of claim 1, wherein the basic information of the human body in the human body data acquisition module comprises name, sex, height, weight and age of the human body.
3. The intelligent motion guidance system based on visual AI of claim 1, wherein the action guidance module comprises a motion video playing module, a video recording module, a video storage module, a video transmission module;
the video playing module is used for playing a teaching motion video, providing the teaching motion video for a user to refer and learn motion;
the video recording module is used for recording the behavior actions of the user in the motion process;
the video storage module is used for storing the recorded motion video;
the video transmission module is used for transmitting the stored data to the data analysis module.
4. The intelligent visual AI-based sports guidance system of claim 1, wherein the data analysis module is further configured to formulate a training task for the user to fit his/her own situation, to precisely define training and rest time, and to present data reports after training.
5. The intelligent visual AI-based sports guidance system of claim 1, wherein the action-correcting module comprises an error action recording module, an error action reminding module, and an error action cycle playing module;
the error action recording module is used for comparing the standard actions of the user and the video playing and recording and storing the actions with errors;
the error action reminding module is used for sending an alarm to remind a user that a motion error occurs when the error occurs;
the error action circulating playing module is used for circularly playing the action at the error position for multiple times and providing the action for the user to learn.
6. An intelligent motion guidance method based on visual AI, based on an AI sensing device, the AI sensing device is used for recording behavioral and motion data when a human body moves, and is characterized by comprising the following steps:
s1, acquiring basic information, past movement data and physical conditions of a human body of a user, and recording and storing the basic information data;
s2, receiving and recording the behavior and motion data recorded by the AI sensing device;
s3, providing motion guidance data and recording a motion process image of the user;
s4, comparing the behavior and motion data and the image data with motion guidance data, scoring according to differences, and analyzing whether the behavior and motion of the motion are standard or not according to the score;
and S5, receiving the analysis result, correcting the user behavior when the behavior of the human body movement is different, and repeating the teaching.
7. The intelligent motion guidance system based on visual AI of claim 1, wherein the basic information of the human body includes name, sex, height, weight and age of the human body at S1.
8. The intelligent motion guidance system based on visual AI of claim 1, wherein the details of S3 include:
playing a teaching motion video, providing the teaching motion video for a user to refer and learn motion;
recording the behavior action of the user in the motion process;
and storing the recorded motion video and sending data for data analysis.
9. The intelligent motion guidance system based on visual AI of claim 1, wherein S4 further includes formulating a training task for the user to fit his/her own situation, precisely defining training and rest time, and presenting data report after training.
10. The intelligent motion guidance system based on visual AI of claim 1, wherein the details of S5 include:
comparing the standard actions of the user and the video playing, and recording and storing the action with the error;
when errors occur, an alarm is given to remind a user that the motion errors occur;
and circularly playing the action at the error position for multiple times, and providing the action for the user to learn.
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