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

Abstract EN

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.