An inventive and innovative system to detect fall of old aged persons – a novel attempt with IoT, sensors and data analytics to prevent the post fall effects
by G. Kowshik; J. Anudeep; Popuri Vamsi Krishna; Shriram K. Vasudevan; Ikram Shah
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 12, No. 1, 2020

Abstract: According to the statistics of national council on aging (NCOA), these days rate of deaths in the old aged people has reached a critical state that for every 11 seconds an older adult is being treated for a fall and for every 19 minutes a death is taking place. Statistics by north eastern Ohio state reveals that, the rate of emergency room treatment of fall related injuries in persons aged 75 and older approached 80 per 1,000 per year in women and 60 per 1,000 per year in men. Falls in elders vary from that of the falls in kids, as the healing power in the old people slackens with their age. We present a frugal and affordable system that could monitor the motion of the old people and can detect their fall. We use IoT, sensors and data analytics to build this system. The system is tested for its functioning and is fool proof.

Online publication date: Fri, 06-Mar-2020

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