A Laypunov base fuzzy expert knowledge model identify elders fall signal
Chao-Ting Chu, Wei‐Lung Mao, Chung‐Wen Hung, Jing-Xin Liao · 2018
This paper presented a Laypunov base fuzzy expert knowledge model identify human fall signal in wearable device. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time detect fall situation. The fuzzy expert knowledge model used knowledge base to identify human fall situation, and we also combined Lyapunov convergent theories to adjust knowledge base. In the experimental results, the fuzzy expert knowledge model analysis human fall signal. In addition, we used wearable device combined BLE (Bluetooth low energy) feedback output response real time.