Abstract- The purpose of this project is to detect falls by using inertial sensors embedded in hearing instruments. Falls represent a major public health risk worldwide for elderly people. In that sense, the present work proposes an innovative IoT-based system for detecting falls of elderly people in indoor environments, which takes advantage of low-power wireless sensor networks, and smart devices. This alert can be manually operated as well in case of any other emergencies that do not trigger the fall detection.
Keywords: IoT, Arduino IDE.
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DOI:
10.17148/IJIREEICE.2022.10623
[1] Mrs. D. Kiranmayi, Pudi Hema Latha, Singuru Kavya, Tangudu Sowmya, Tammineni Priyanka, "FALL DETECTION AND ALERT SYSTEM USING IOT," International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI 10.17148/IJIREEICE.2022.10623