Design and Implementation of Low-Cost Inertial Sensor-Based Human Motion Capture System

Qianen He, Zhiyong Zheng, Xiangyu Zhu, Huisheng Zhang, Yujie Su, Xiuying Xu
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引用次数: 1

Abstract

Motion capture system can transform motion information of human body into digital data for analysis and processing in computer or cyberspace. It is an important medium to connect physical space and cyberspace. Aiming at the problems of high cost and high power consumption of existing inertial motion capture systems, this paper proposes a wearable wireless motion capture system based on nine-axis inertial sensor and Bluetooth Low Energy technology. The system can capture the motion trajectory of human body and realize real-time human motion display and data storage in computer. An explicit complementary filtering algorithm based on proportional integral model is used in the process of character motion update. Motion capture experiments are carried out on a human body and results show that the system has sound dynamic performance with the error less than 2 degrees and can achieve efficient human motion capture. The sampling frequency of the system reaches 125Hz and the working time is up to 10 hours. The system can serve as the basis for developing affordable human motion capture solutions that require long-term testing without precise kinematic analysis.
基于惯性传感器的低成本人体运动捕捉系统的设计与实现
运动捕捉系统可以将人体的运动信息转换成数字数据,供计算机或网络空间进行分析和处理。它是连接实体空间和网络空间的重要媒介。针对现有惯性运动捕捉系统成本高、功耗大的问题,本文提出了一种基于九轴惯性传感器和低功耗蓝牙技术的可穿戴式无线运动捕捉系统。该系统可以捕捉人体的运动轨迹,实现人体运动的实时显示和数据存储。在角色运动更新过程中,采用了一种基于比例积分模型的显式互补滤波算法。在人体上进行了动作捕捉实验,结果表明该系统具有良好的动态性能,误差小于2度,能够实现高效的人体动作捕捉。系统采样频率达到125Hz,工作时间长达10小时。该系统可以作为开发经济实惠的人体运动捕捉解决方案的基础,这些解决方案需要长期测试,而不需要精确的运动学分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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