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3D Human Motion Information Extraction Based on Vicon Motion Capture in Internet of Things

  • Ze-guo LiuEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 301)

Abstract

In order to solve the problems of unclear contour and poor geometric precision in the process of extracting human body motion information by traditional key point detection method, a 3D human motion information extraction method based on Vicon motion capture was proposed. The motion characteristics of human body were captured by Vicon motion capture technology. According to the capture results, the change characteristics of joint force and angle in the course of human motion were collected and calculated, so that the frequency of human motion wave can be accurately grasped, the distribution of frequency change and the law of change. According to the law of change, the contour features in the process of human motion were perceived and judged, and the geometric accuracy of the moving contour was optimized by using fuzzy algorithm, thus the accurate extraction of three-dimensional human motion information was realized. The simulation results show that this method can effectively extract 3D human motion information, solve the problem of unclear contour in traditional methods, and improve the geometric accuracy of 3D human motion information extraction.

Keywords

Internet of things Motion capture Human motion Information extraction 

Notes

Acknowledgements

On the digitalized 3D model of Tibetan Xianziwu based on 3D Motion Capture.

(Innovation-Supportive Project for Young Teachers in Colleges and Universities in Tibet Autonomous Region).

QCZ2016—33.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.College of Information EngineeringXizang Minzu UniversityXianyangChina

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