A Novel Human Motion Tracking Approach Based on a Wireless Sensor Network. (24th February 2013)

• Record Type: Journal Article
• Authors: Zhang, Sen; Xiao, Wendong; Gong, Jun; Yin, Yixin
• Is Part Of: International journal of distributed sensor networks. Volume 9:Number 2(2013)
• Publication Date: 2013-02-24
• Subjects: Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1155/2013/636052
• Languages: English
• ISSNs: 1550-1329

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.