Development of a Wireless Low-Power Multi-Sensor Network for Motion Tracking Applications

被引：0
|
作者：
Comotti, Daniele [1 ,2 ]
Ermidoro, Michele [2 ]
Galizzi, Michael [2 ]
Vitali, Andrea [3 ]
机构：
[1] Univ Pavia, Dept Elect Comp & Biomed Engn, Via Ferrata 1, I-27100 Pavia, Italy
[2] Univ Bergamo, Dept Engn, I-24044 Dalmine, Italy
[3] STMicroelect, I-20864 Agrate Brianza, Italy
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON BODY SENSOR NETWORKS (BSN) | 2013年
关键词：
IMU; MARG sensors; Quaternion Kalman Filter; AHRS; 3D Motion Tracking; KALMAN FILTER;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This work presents a novel wireless and low power Attitude and Heading Reference Systems network based on low-cost MEMS (Micro Electro-Mechanical System) sensors, developed for motion tracking systems. Biomedical and rehabilitation purposes as well as gaming and consumer electronics may be the potential applications of this network. The paper aims to describe the hardware architecture, the embedded sensor fusion algorithm and the motion tracking system.
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页数：6
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