Extraction of Gait Features Using a Wireless Body Sensor Network (BSN)

A body sensor network (BSN) is presented in this paper, which targets at integrating physical activity signal and physiologically related features to provide detailed body context information. Issues concerning the structure of the proposed BSN, functions and interactions between its components are stressed. The BSN has been applied to conduct gait analysis in this study. A gait tracker based on Kalman filter is proposed to estimate hip angle and swing velocity of the lower limb segment using the sensor measurments. Experimental result shows that the movement of the legs during gait cycles is well revealed with the proposed method.