Way-Soong  Lim, Viknesh  Kumar, Boon-Chin  Yeo, 
    Fall Detection with Support Vector Machine for Elderly Care using
Pressure Sensor Grid,
    Journal of Engineering and Applied Sciences,
    Volume 15,Issue 2,
    2020,
    Pages 636-642,
    ISSN 1816-949x,
    jeasci.2020.636.642,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2020.636.642)
    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.
    Keywords: Fall detection;pressure sensor;support vector machine;elderly care;postures;objective