Fitness action error correction method and system based on deep learning image recognition

Abstract

The invention discloses a fitness action error correction method based on deep learning image recognition, which comprises the following steps: receiving each frame of fitness images intercepted from fitness videos, recording the time corresponding to each frame of fitness images, and performing the exercise on each frame of fitness images Preprocessing: input the preprocessed fitness image into the human body joint recognition model, and output each human body joint and its position coordinates contained in the fitness image through the calculation of the human body joint recognition model; order each joint according to the coordinate position connect the lines to obtain a human skeleton diagram; compare and analyze the human skeleton diagram according to standard bodybuilding actions, and output non-standard bodybuilding images to realize error correction of bodybuilding movements. The invention also discloses a fitness action error correction system based on deep learning image recognition. The system and method can deal with the problem of difficult comparison between fitness movements without musical rhythm in a real and effective manner.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an error correction method and system for fitness actions based on deep learning image recognition. Background technique [0002] With the development of the economy and the improvement of people's living standards, people's awareness of fitness has gradually increased, and people have paid more and more attention to the improvement of physical fitness. However, due to the limitation of fitness venues, the high cost of fitness instructors and other factors, many bodybuilders do not have enough opportunities to learn professional bodybuilding movements, so the bodybuilding exercises of bodybuilders have not achieved the desired effect. [0003] For the current fitness exercise can be divided according to music rhythm and no music rhythm, for example, most of the single-function and multi-function fitness equipment in the gym are performed without music rhythm ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method and system for error correction of fitness movements based on deep learning image recognition, so as to solve the problem that bodybuilders lack instructive suggestions on fitness movements

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