Motion-aid training system based on motion recognition

Abstract

The invention provides a motion-aid training system based on motion recognition. The system comprises a motion collection module and a motion-aid training module, wherein the motion collection module is used to acquire limb posture inertial data of to-be-trained motions of a trained user and send the data to the motion-aid training module; and the motion-aid training module conducts three-dimensional recovery demonstration based on the limb posture inertial data, and carries out motion assessment and motion bias correction training after human body motion recognition. According to the invention, based on a human body motion recognition method, the three-dimensional recovery demonstration, motion recognition and accurate evaluation are conducted on the training motions, so bias correction training can be carried out; and the user can objectively know personal motion errors and weaknesses and solve various problems encountered in learning training fundamentally, so that more targeted training and motion correction can be conducted and training effects can be improved.

Description

technical field [0001] The present invention relates to the fields of human-computer interaction, machine learning, virtual reality, robot learning, education and training, etc., and more specifically, relates to an action-assisted training system based on motion recognition. Background technique [0002] With the development of computer technology and the rise of machine learning technology, motion recognition technology has also shown a blowout development. Motion recognition technology has great application value in the field of auxiliary training. On the one hand, it can be used in fields such as sports and dance to analyze, evaluate and assist training of professional technical movements. On the other hand, with the continuous development of robot technology, it can also be used as an effect evaluation and auxiliary training method for robot behavior learning; [0003] At present, the best way to train various technical movements is the demonstration-practice method, w...

AI Technical Summary

Problems solved by technology

[0004] In the traditional training, the training action is evaluated only by the coach's naked eyes and experience, and the evaluation of the training action cannot be completed in an all-round, detailed, precise and systematic manner.

Regardless of sports, dance, or robot behavior learning, in various fields that have requirements for the movements and postures of humans or robots, only when each movement and posture meet the strict requirements of precision, standardization and perfection during the learning process can we achieve superb performance. At the same time, the traditional method is very dependent on the coach, which limits the time and place where the trainee can train the action

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