Skeletal muscle stress estimation method based on posture recognition and human body biomechanics

Abstract

The invention provides a skeletal muscle stress estimation method based on posture recognition and human body biomechanics. The skeletal muscle stress estimation method comprises the following steps:acquiring image data of at least one target user through an image data acquisition device; inputting image data of a target user into a body key feature point monitoring deep learning neural network,outputting predicted body key feature point data, and predicted body key feature points are key feature points needed for human body biomechanical analysis of interested parts of the target user; processing the image data of the target user and the predicted body key feature point data to obtain estimated human body three-dimensional posture information; and analyzing the stress state of the interested part by inputting the human body three-dimensional posture information into a pre-established human body stress analysis model.

Description

technical field [0001] The present disclosure generally relates to the technical field of musculoskeletal biomechanics, and in particular to a method for estimating skeletal muscle stress based on body posture recognition and human biomechanics. Background technique [0002] In daily life, people complete various tasks by coordinating and controlling muscles, joints, bones and other moving organs to produce various actions. The human body connects bones together through joints, and controls the posture of the body through the relaxation and contraction of muscles. In order to better guide people to work effectively and live a healthy life, there are continuous breakthroughs in the research on human sports biomechanics. Its direction includes the study of the strength, load limit, range of motion and speed of muscles and joints in various parts of the human body, the resistance of human organs and bones to different movements, and the comfort of movements. Musculoskeletal f...

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Problems solved by technology

[0005] However, most of the body recognition on the market is limited to two-dimensional space; and the recognized points are based on the rough human joint marker points provided by the public two-dimensional image and video database.

These two-dimensional data alone cannot truly reflect human behavior in three-dimensional space, and it is even more difficult to combine mechanical test data in three-dimensional space to carry out corresponding mathematical modeling and simulate to solve the biomechanical loads of human musculoskeletal in different postures, so as to analyze skeletal muscles Is the force reasonable?

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