Identifying individuals' footsteps walking on a floor sensor device

Abstract

Studies of human-computer interaction have been broadened and deepened and powerful, novel gestural interfaces are of special interest in this field. This paper concerns the motion of feet on a floor sensor device. We have been investigating footstep tracking of individuals walking on the device and have presented a particle filter-based framework. In this paper, we present a trial of extended system facilities, allowing the system to identify pairs of footsteps of individuals walking on the floor sensor device. Three gait characteristics, stride length, footstep direction, and relative pressure values in foot regions, are considered. In addition, an implementation of the improved particle filter framework with Walker's alias method is also described for speeding execution. © Springer International Publishing 2013.