DocumentCode
628280
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
fYear
2013
fDate
6-9 May 2013
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Body Sensor Networks (BSN), 2013 IEEE International Conference on
Conference_Location
Cambridge, MA, USA
ISSN
2325-1425
Print_ISBN
978-1-4799-0331-3
Type
conf
DOI
10.1109/BSN.2013.6575466
Filename
6575466
Link To Document