DocumentCode :
657045
Title :
Reconfigurable differentiall accelerometer platform for inertial body sensor networks
Author :
Jiaqi Gong ; Lach, John
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
This work presents a design of a reconfigurable differential accelerometer platform for body sensor networks (BSNs) that achieves lower power and lower cost than traditional inertial sensor systems. The proposed reconfigurable platform provides six degree-of-freedom (6DoF) sensing with four tri-axial accelerometers, entirely avoiding gyroscopes, which have become a bottleneck of power and cost optimization for many BSNs. Gryo-free 6DoF sensing has been demonstrated in the past but not under BSN form factor constraints. The proposed platform includes three components: (1) differential accelerometers in a BSN-compatible configuration, (2) a reconfigurable analog circuit for adaptive sensor conditioning given this configuration, and (3) a signal reconstruction algorithm based on prior knowledge about body motions. Simulated results demonstrate accurate angular velocity estimation using the proposed platform.
Keywords :
accelerometers; analogue circuits; body sensor networks; signal reconstruction; BSN-compatible configuration; adaptive sensor conditioning; angular velocity estimation; gryofree 6DoF sensing; inertial body sensor networks; reconfigurable analog circuit; reconfigurable differential accelerometer platform; signal reconstruction algorithm; six degree-of-freedom sensing; triaxial accelerometers; Accelerometers; Angular velocity; Body sensor networks; Estimation; Sensors; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SENSORS, 2013 IEEE
Conference_Location :
Baltimore, MD
ISSN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2013.6688327
Filename :
6688327
Link To Document :
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