Real-time monitoring of elderly using their connected walking stick

Lots of aging people rely on a caneasan assistive device to ovoid problems such as leg weakness and balance loss, which are presumed to have induced many fall incidents. In this paper, we present a new design and implementation of Canne3D system, a local monitoring system for elderly using their connected walking stick. Actually, the 3Dcane is modeled through consideration of real-time movements for a deep understanding of the person's state, including steps counting and calculating the distance traveled. We have applied a simple multi-stage thresholding method based on the acceleration value. Experiments show that the algorithms appear to be robust in term of detection rate and false positive rate.