A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network

Sen Zhang, Wendong Xiao, Jun Gong and Yixin Yin

International Journal of Distributed Sensor Networks, 2013, vol. 9, issue 2, 636052

Abstract: This paper proposes a human motion tracking approach for a daily life surveillance in a distributed wireless sensor network using ultrasonic range sensors. Because the human target often moves with high nonlinearity, the proposed approach applies the unscented Kalman filter (UKF) technique. A novel sensor node selection scheme at each time step considering both the tracking accuracy and the energy cost is presented. Experimental results in a real human motion tracking system show that the proposed approach can perform better tracking accuracy compared to the most recent human motion tracking scheme in the real testbed implementation.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:9:y:2013:i:2:p:636052

DOI: 10.1155/2013/636052

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