Physical education assisting system and method based on human body posture recognition

Abstract

The invention discloses a physical education assisting system and method based on human body posture recognition. The system comprises a depth shooting device, a standard action storage unit, a display terminal, an action comparison unit and a prompting device, wherein the depth shooting device is used for obtaining user action depth image sequences comprising movement action of a user following the demonstration action; the standard action storage unit is used for storing a standard action model and standard action demonstration image sequences corresponding to the standard action model; the display terminal is used for displaying the standard action demonstration image sequences for the user; the action comparison unit is used for comparing the user action depth image sequence at a scheduled time point or time period with the standard action model at the corresponding time point or the time period, and obtaining the difference between the user action and the standard action model; the prompting device is used for outputting action evaluation information or action correction prompting information to a display device according to the difference. According to the physical education assisting system and method, the user does not need to wear a special recognition device, the manufacturing cost of the system is lowered, and the user experience is improved.

Description

technical field [0001] The invention relates to computer vision technology, in particular to a physical education teaching auxiliary system and method based on human body gesture recognition. Background technique [0002] Traditional physical education requires venues and coaches, and is limited by trainers' economic conditions, training venues, training time, etc., which is not conducive to most users meeting their learning goals. Learning with the help of teaching videos is not interactive, nor can you evaluate your actions, and you cannot get timely corrections when you make mistakes. Choose to watch games or performance videos to learn by imitation. Although users can complete it at any time and in any environment, there is a lack of guidance, no evaluation system for actions, and the training effect cannot meet the needs of users. [0003] The prior art discloses a device and a corresponding method for obtaining human body motion-assisted physical education teaching by...

AI Technical Summary

Problems solved by technology

[0004] However, this type of teaching assistance system that uses a recognition device that needs to be worn by the human body requires the user to wear a special recognition device. Although it can also realize the learning and competition of sports with simple movements, it cannot be used to learn sports with more movement changes. high system cost

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