Fall Detection Monitoring System Based on MEMS Sensor

Abstract

In order to get timely treatment after the elderly fall, this paper proposes a wearable device to monitor the fall of the elderly. The device includes a data acquisition module, a data processing module, and a wireless communication module. With the elderly wear the device at the waist, the human body posture data will be collected by data acquisition module, and will be processed by data processing module, and combines the random forest algorithm to distinguish between daily activities and fall behaviors. When the fall occurs, the device alarms by sound and light. At the same time, the transparent cloud platform matched with the wireless communication module can monitor the position and status of the elderly in real time. When a fall occurs, the emergency contact will be notified through WeChat and email, and the real-time alarm will be realized, and the old man will get timely treatment after the fall.