Design and Implementation of Fall Detection System Based on ZigBee

Abstract:

Elderly people are unable to be rescued promptly when they fall down from the chair or bed, and may be injured seriously. A fall detection system for chair based on ZigBee was investigated in this paper for this problem. Gotten the fallen information by multi-sensor data acquisition and detection technology, uploaded to PC or Android terminals through ZigBee-WiFi gateway, and sent the information to mobile phone in SMS through GSM module. The adaptive weighted fusion algorithm was used to improve the accuracy of monitoring-data. The results show that one who take the system can get the alert message instantly by PC, Android terminals and mobile phones, so it has the potential to satisfy the application of the elderly peoples care problem.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 1446-1450
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.1446
• Online since: September 2013
• Authors: Yi Zhang, Gang Tan, Yuan Luo, Yang Li
• Keywords: Adaptive Weighted Fusion, Fall Detection, GSM, ZigBee, ZigBee-WiFi Gateway

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