阅读说明：本技术 一种基于ai视觉感知技术的运动教学系统 (Motion teaching system based on AI visual perception technology ) 是由 张懿华 顾耀东 孙冬 赵亮 于 2021-09-29 设计创作，主要内容包括：本发明公开了一种基于AI视觉感知技术的运动教学系统,包括运动前人体运动数据采集系统、运动中人体运动数据对比系统和运动后人体运动数据教学系统；运动前人体运动数据采集系统用于采集运动教学中的运动数据；运动中人体运动数据对比系统用于负责在进行教学时,将标准运动数据与初学者在运动时的运动数据进行比对,查找不规范动作,并做出记录；运动后人体运动数据教学系统用于负责在初学者进行运动后,通过记录的不规范运动数据对初学者进行再次教学,使初学者得到改正,使运动的动作规范标准,从而达到提高。本发明通过运动前、运动中和运动后对初学者进行详细讲解并指导,可以保证初学者详细了解每个动作,在最短时间内达到运动的要求。(The invention discloses an AI visual perception technology-based motion teaching system, which comprises a human motion data acquisition system before motion, a human motion data comparison system during motion and a human motion data teaching system after motion; the human body movement data acquisition system before movement is used for acquiring movement data in movement teaching; the human body motion data comparison system in motion is used for comparing standard motion data with motion data of a beginner in motion during teaching, searching out irregular motions and recording; the after-exercise human motion data teaching system is used for teaching the beginner again through the recorded irregular exercise data after the beginner exercises, so that the beginner is corrected, the exercise action is standardized, and the improvement is achieved. The invention can explain and guide the beginner before, during and after the movement, to ensure the beginner to know each movement in detail and meet the movement requirement in the shortest time.)

1. A motion teaching system based on AI visual perception technology is characterized in that: the system comprises a human body movement data acquisition system before movement, a human body movement data comparison system during movement and a human body movement data teaching system after movement;

the human body movement data acquisition system before movement is used for acquiring movement data in movement teaching;

the human body motion data comparison system in motion is used for comparing standard motion data with motion data of a beginner in motion during teaching, searching out irregular motions and recording;

the after-exercise human motion data teaching system is used for teaching the beginner again through recorded irregular motion data after the beginner exercises, so that the beginner is corrected, the exercise action is standardized, and the exercise is improved.

2. The AI visual perception technology-based athletic teaching system of claim 1, wherein: the human body movement data acquisition system before movement comprises a movement data acquisition module, a movement data storage module, a sound storage module, a teaching selection module, a scene selection module and a scene display module;

the motion data acquisition module is used for acquiring motion data in motion teaching, wherein the motion data comprises motion data of a beginner in motion and motion data of a professional in motion;

the motion data storage module is used for storing motion data of a professional during motion explanation;

the sound storage module is used for recording and storing a standard language corresponding to the motion action behavior of a professional in the motion process;

the teaching selection module is used for selecting the type of the learned sports;

the scene selection module is used for selecting a corresponding teaching environment;

and the scene display module is used for playing the corresponding scene according to the selection after the scene mode is finished.

3. The AI visual perception technology-based athletic teaching system of claim 1, wherein: the human motion data comparison system in the sport comprises a motion data standard judgment module, the motion data standard judgment module acquires bone information based on a kinect depth sensor, compares the motion data of a beginner with standard motion data, searches out non-standard motions and records, if the motion data of the beginner and the standard data are in an allowed error range, the motion data of the beginner indicates that the motions of the beginner are standard, and if the motion data of the beginner exceeds the error range after being compared with the standard data, the motion motions of the beginner are not standard.

4. The AI visual perception technology-based athletic teaching system of claim 1, wherein: the human motion data teaching system after the motion comprises a motion guidance suggestion output module, wherein the motion guidance suggestion output module is responsible for data comparison, summarizes places needing improvement and guides beginners, so that when the beginners move again, places with irregular motion actions of the beginners are corrected in a slow motion mode.

5. The AI visual perception technology-based athletic teaching system of claim 1, wherein: the motion teaching system based on the AI visual perception technology further comprises a scoring evaluation system, and the scoring evaluation system judges the learning state of the beginner by adopting a scoring mode.

6. The AI visual perception technology-based athletic teaching system of claim 2, wherein: the teaching selection modules include, but are not limited to, fat reduction exercises, aerobics exercises, martial arts, and square dance.

Technical Field

The invention relates to the technical field of visual perception, in particular to a motion teaching system based on an AI visual perception technology.

Background

The artificial intelligence subject lays the ambitious goal of simulating, extending and expanding human intelligence from the beginning of birth. With the development of artificial intelligence technology, artificial intelligence has developed in a great deal of directions such as perception, natural language processing, knowledge representation, automatic reasoning and planning, machine learning and the like. The perceptual capabilities include visual perception (the ability of image recognition and video to understand and reconstruct scenes) and auditory perception (i.e., speech recognition, which refers to finding a particular person's voice from the voices of multiple persons). Natural language processing refers to semantic recognition speechrecognition, i.e. the meaning of human utterances can also be understood after speech recognition.

However, when the existing motion teaching system is used, the student cannot be guided in detail before, during and after the motion, so that the student cannot know and correct the motion in time when the motion of the student is irregular, and the aim of improvement cannot be achieved.

Therefore, how to provide a motion teaching system based on AI visual perception technology is a technical problem that needs to be solved urgently by those skilled in the art.

Disclosure of Invention

The invention aims to provide a motion teaching system based on an AI visual perception technology, which solves the problem that the prior motion teaching system proposed in the background technology cannot guide a student in detail from before, during and after motion, so that the student cannot know and correct the motion in time when the motion of the student is not standard, and the aim of improvement cannot be fulfilled.

In order to achieve the purpose, the invention provides the following technical scheme:

a motion teaching system based on AI visual perception technology comprises a human motion data acquisition system before motion, a human motion data comparison system during motion and a human motion data teaching system after motion;

the human body movement data acquisition system before movement is used for acquiring movement data in movement teaching;

the human body motion data comparison system in motion is used for comparing standard motion data with motion data of a beginner in motion during teaching, searching out irregular motions and recording;

the after-exercise human motion data teaching system is used for teaching the beginner again through recorded irregular motion data after the beginner exercises, so that the beginner is corrected, the exercise action is standardized, and the exercise is improved.

Preferably, the human body movement data acquisition system before movement comprises a movement data acquisition module, a movement data storage module, a sound storage module, a teaching selection module, a scene selection module and a scene display module;

the motion data acquisition module is used for acquiring motion data in motion teaching, wherein the motion data comprises motion data of a beginner in motion and motion data of a professional in motion;

the motion data storage module is used for storing motion data of a professional during motion explanation;

the sound storage module is used for recording and storing a standard language corresponding to the motion action behavior of a professional in the motion process;

the teaching selection module is used for selecting the type of the learned sports;

the scene selection module is used for selecting a corresponding teaching environment;

and the scene display module is used for playing the corresponding scene according to the selection after the scene mode is finished.

Preferably, the human motion data comparison system in the motion comprises a motion data standard judgment module, the motion data standard judgment module acquires bone information based on a kinect depth sensor, compares the motion data of the beginner with standard motion data, searches out irregular motion and records, if the motion data of the beginner and the standard data are in an allowable error range, the motion data of the beginner indicates that the action of the beginner is regular, and if the motion data of the beginner exceeds the error range after being compared with the standard data, the motion data of the beginner indicates that the motion of the beginner is irregular.

Preferably, the after-exercise human motion data teaching system comprises an exercise guidance suggestion output module, wherein the exercise guidance suggestion output module is responsible for summarizing places needing to be improved after data comparison and guiding a beginner, so that when the beginner exercises again, places with irregular exercise motions of the beginner are corrected in a slow-motion mode.

Preferably, the motion teaching system based on the AI visual perception technology further comprises a scoring evaluation system, and the scoring evaluation system judges the learning state of the beginner by adopting a scoring mode.

Preferably, the teaching selection module includes, but is not limited to, fat reduction exercises, aerobics exercises, martial arts and square dance.

Compared with the prior art, the invention has the beneficial effects that:

through the human motion data acquisition system before the motion, the human motion data comparison system during the motion and the human motion data teaching system after the motion, the motion teaching system explains and guides beginners in detail before the motion, during the motion and after the motion, can ensure that the beginners know each motion in detail and meet the motion requirement in the shortest time.

Drawings

Fig. 1 is a schematic block diagram of a motion teaching system according to embodiment 1.

Fig. 2 is a schematic block diagram of the motion teaching system according to embodiment 2.

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.

In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.

Example 1:

referring to fig. 1, an exercise teaching system based on AI visual perception technology includes a human body exercise data acquisition system before exercise, a human body exercise data comparison system during exercise, and a human body exercise data teaching system after exercise;

the human motion data acquisition system before motion is responsible for motion data acquisition of motion teaching, firstly, a professional carries out accurate motion teaching demonstration, the motion of the leg, the hand and other parts of the body needs to be standardized during demonstration of each motion, and the human motion data acquisition system before motion carries out data acquisition and recording to be used as standard motion data;

the human body motion data comparison system is used for comparing standard motion data with motion data of a beginner during motion during teaching, searching for irregular motions and recording;

the human motion data teaching system is used for teaching the beginner again through recorded irregular motion data after the beginner moves, so that the beginner is corrected, the motion of the movement is more standard, and the improvement is achieved.

The human body movement data acquisition system before movement comprises a movement data acquisition module, a movement data storage module, a sound storage module, a teaching selection module, a scene selection module and a scene display module; the exercise data acquisition module is used for acquiring exercise data in exercise teaching, and comprises exercise data of a beginner during exercise and exercise data of professionals during exercise, the exercise data storage module is used for storing the exercise data of the professionals during exercise explanation, the sound storage module is used for recording and storing standard languages corresponding to exercise actions of the professionals during exercise, and comprises how all parts of a body are placed during exercise, how the body is coordinated, and where hands and feet are bent or contracted to calculate the standard, the teaching selection module is mainly used for selecting types of exercises to be learned, including exercise such as fat reduction exercises, body building exercises, or the like, or exercise machines, the use of some fitness machines of combined machines, the teaching of traditional martial arts such as taiji boxing and the like, and the teaching of various square dances; the scene selection module is mainly used for selecting teaching environments, which can be indoor or outdoor, selecting corresponding teaching environments according to different scene modes, and playing corresponding scenes according to selection after the scene display module completes the scene mode selection.

The human motion data comparison system in the sport comprises a motion data standard judgment module, the motion data standard judgment module acquires bone information based on a kinect depth sensor, compares the motion data of a beginner with standard motion data acquired before a motion teaching system, summarizes errors occurring during the sport and records the errors, if the motion data of the beginner and the standard data are within an allowable error range, the motion data of the beginner indicates that the motion of the beginner is normative, and if the motion data of the beginner exceeds the error range after being compared with the standard data, the motion data of the beginner indicates that the motion of the beginner is not normative.

The motion guidance suggestion output module is responsible for data comparison after, summarizes the place that needs to improve to guide the beginner, when making the beginner move once more, with the form of slow motion, correct the place that the beginner moves irregularly.

Example 2:

referring to fig. 2, an AI visual perception technology-based exercise teaching system includes a pre-exercise human exercise data acquisition system, an in-exercise human exercise data comparison system, a post-exercise human exercise data teaching system, and a scoring evaluation system;

the human motion data acquisition system before the exercise, the human motion data comparison system during the exercise, and the human motion data teaching system after the exercise have the same specific functions as those in embodiment 1, and are not described herein again.

The scoring evaluation system judges whether the learned exercise action is completely mastered through a scoring mode for the beginner, for example, the exercise teaching system is full, if the beginner can reach eighths after finishing exercise, the exercise data is qualified, and if the beginner does not reach eighths, the exercise data is unqualified.

While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.