A Plantar Inclinometer Based Approach to Fall Detection in Open Environments
In this paper, we report a threshold-based method of fall detection using plantar inclinometer sensor, which provides us the information of angle variations during walking, and of angle status after a fall. The angle variations and status are collected in three-dimensional space. We analyzed the normal range of angle variations during walking, and selected the thresholds by testing the distribution of plantar angles of falls. In the experiments, thresholds were selected from plantar angles of fall status in four directions: forward, backward, left and right. Using the selected thresholds, we detected falls of five subjects in different situations for five hundred times and obtained the average detection rate of 85.4 %.
Citation : Sun, J. et al. (2016) A Plantar Inclinometer Based Approach to Fall Detection in Open Environments. Emerging Trends and Advanced Technologies for Computational Intelligence, Volume 647 of the series Studies in Computational Intelligence, Springer, 647, pp 1-13
ISBN : 9783319333519
Research Institute : Cyber Technology Institute (CTI)
Peer Reviewed : Yes