Human motion capture system in sports performance based on Internet of Things technology and wireless inertial sensor | |
W. F. Xu | |
刊名 | Eurasip Journal on Advances in Signal Processing
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2021 | |
卷号 | 2021期号:1页码:9 |
ISSN号 | 1687-6180 |
DOI | 10.1186/s13634-021-00799-3 |
英文摘要 | Taking human movements has very good prospects of application in sports, animated projects, medicine and health and other areas. This article aims to study the human motion capture system in sports performances based on the Internet of Things technology and wireless inertial sensors. This article first introduces the theory and characteristics of the Internet of Things and motion capture; next, according to the different characteristics of the sensors in the inertial motion capture system, a two-step Kalman filter is proposed to process the accelerometer and the magnetometer separately and, finally, the structure of this article. The human body motion model is used to analyze the acceleration dynamic error that occurs during the motion. In addition, an inertial motion capture system is constructed to obtain and visualize the structure of each motion node. The experimental results in this paper show that the Kalman filtering algorithm can ensure the accuracy of angle estimation under different motion states and has good fault tolerance to external interference. Among them, the error of the static state is reduced by 23.1%. |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
源URL | [http://ir.ciomp.ac.cn/handle/181722/65307] ![]() |
专题 | 中国科学院长春光学精密机械与物理研究所 |
推荐引用方式 GB/T 7714 | W. F. Xu. Human motion capture system in sports performance based on Internet of Things technology and wireless inertial sensor[J]. Eurasip Journal on Advances in Signal Processing,2021,2021(1):9. |
APA | W. F. Xu.(2021).Human motion capture system in sports performance based on Internet of Things technology and wireless inertial sensor.Eurasip Journal on Advances in Signal Processing,2021(1),9. |
MLA | W. F. Xu."Human motion capture system in sports performance based on Internet of Things technology and wireless inertial sensor".Eurasip Journal on Advances in Signal Processing 2021.1(2021):9. |
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