Flexible Detection of Fall Events Using Bidirectional EMG Sensor
Han Hao, Xiaojun Ma, Keizo Oyama · Studies in health technology and informatics · 2017
Falling is one of the most serious life-threatening events for the elders, and the growing population of elderly people motivates the development of ICT-based healthcare-oriented solutions for fall detection prevalently. In this poster, a bidirectional EMG (electromyographic) sensor network model is proposed for a more efficient and flexible detection of fall events based on simple communication between users and nursing care staff.