Fall Detection with Support Vector Machine for Elderly Care using Pressure Sensor Grid
Viknesh Kumar, Boon-Chin Yeo, Way-Soong Lim · Journal of Engineering and Applied Sciences · 2019
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.