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International Journal of Frontiers in Sociology, 2020, 2(4); doi: 10.25236/IJFS.2020.020403.

An Improved Approach for Human Motion Simulation and Sports Analysis based on Dynamic Image Analysis

Author(s)

Hua-xin Zhang and Li Su

Corresponding Author:
Hua-xin Zhang
Affiliation(s)

Jiaxing Vocational Technical College, Jiaxing, Zhejiang 314036, China

Abstract

With the development of computer vision technology, human motion capture can accurately analyse the mobile state of human body and transform it into accurate data report, so as to achieve better physical training effect. In this paper, the author makes an improved approach for human motion simulation and sports analysis based on dynamic image analysis. In the virtual reality, the most intuitive application of motion capture is the 3D animation film. The motion capture algorithm is used to estimate the body's posture and body shape by taking the action posture of the human being.The results showed that the proposed design can improve the accuracy of motion estimation, it can also effectively analyse the sports movement. At the same time, through the analysis of the motion state, the action capture can achieve better physical training effect.

Keywords

3D model, Computer vision, Human posture, Motion capture, Virtual reality

Cite This Paper

Yujie li. An Improved Approach for Human Motion Simulation and Sports Analysis based on Dynamic Image Analysis. International Journal of Frontiers in Sociology (2020), Vol. 2, Issue 4: 14-24. https://doi.org/10.25236/IJFS.2020.020403.

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