Authors : Viknesh Kumar, Boon-Chin Yeo and Way-Soong Lim
Abstract: Generally, falling is prevalent in elderly of age 65 and above due to age-related biological changes. Falls can be life-threatening if noticed late. Hence, a fall detection and surveillance device was developed to monitor elderly living alone. The primary objective is to build a pressure sensitive mat capable of detecting fall through image processing. The subjects tested resembled the stature of elderly. The accuracy of the system in detecting fall is 93% while the accuracies for the other postures such as standing and sitting yield 93.5 and 81.5%, respectively.
Viknesh Kumar, Boon-Chin Yeo and Way-Soong Lim, 2020. Fall Detection with Support Vector Machine for Elderly Care using Pressure Sensor Grid. Journal of Engineering and Applied Sciences, 15: 636-642.