@article{MAKHILLJEAS202015218969,
    title = {Fall Detection with Support Vector Machine for Elderly Care using
Pressure Sensor Grid},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {2},
    pages = {636-642},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.636.642},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.636.642},
    author = {Way-Soong,Viknesh and},
    keywords = {Fall detection,pressure sensor,support vector machine,elderly care,postures,objective},
    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.}
    }