Title :
Development of a wireless low-power multi-sensor network for motion tracking applications
Author :
Comotti, Daniele ; Ermidoro, Michele ; Galizzi, Michael ; Vitali, Andrea
Author_Institution :
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Via Ferrata 1, 27100, Pavia, Italy
Abstract :
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.
Keywords :
Covariance matrices; Magnetometers; Quaternions; Sensors; Tracking; Vectors; Wireless sensor networks; 3D Motion Tracking; AHRS; IMU; MARG sensors; Quaternion Kalman Filter;
Conference_Titel :
Body Sensor Networks (BSN), 2013 IEEE International Conference on
Conference_Location :
Cambridge, MA, USA
Print_ISBN :
978-1-4799-0331-3
DOI :
10.1109/BSN.2013.6575466
