Towards detecting and predicting fall events in elderly care using bidirectional electromyographic sensor network
Hao Han, Xiaojun Ma, Keizo Oyama · 2016
Falling is one of the most serious life-threatening events for the elders, and the ICT-based solution plays a key role in addressing this problem prevalently. In this paper, four principles are proposed as fundamental criteria for designing a sensor network for elder-oriented fall detection and prediction. According to these criteria, a bidirectional electromyographic sensor network model is experimentally constructed, and qualitative analysis is conducted to explain that this solution performs more realistically and rationally.