Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
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.
How to cite this article:
Viknesh Kumar, Boon-Chin Yeo and Way-Soong Lim. Fall Detection with Support Vector Machine for Elderly Care using
Pressure Sensor Grid.
DOI: https://doi.org/10.36478/jeasci.2020.636.642
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2020.636.642