Automatic Fall Detection System using Sensing Floors
Mohamad Daher, Maan El Badaoui El Najjar, Mohamad Khalil · International Journal of Computing and Information Sciences · 2016
Automatic fall detection is a major issue in taking care of the health of elderly people and has the potentialof increasing autonomy and independence while minimizing the risks of living alone. It has been an active researcharea due to the large demand of the healthcare association for fall detection goods. Fortunately, due to the recentfast progression in sensing technologies, fall detection system becomes prospective. It permits to monitor elders anddetect their falls, and consequently provides emergency support whenever needed. This paper describes the currentwork of detecting falls in independent living apartments using accelerometer concealed under tiles. We present theup-to-date advancement of data collection, feature extraction, feature selection, and signal changing detection, whichare essential phases of this work.