An Intelligence Security Alarming System With Fall Detection Algorithm
Mingxuan Han, Jialing Chen, Yiming Lei, Xiaohui Duan, Bingli Jiao · 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2019
Falls endanger the health of the elderly seriously. Fall detection and emergency alarm is very necessary. At present, the alarm system has the problems of low fall detection accuracy, high power consumption, poor user experience and slow feedback. We designed a low-power wearable smart device with fall detection and touch alarm based on nRF51-DK low-power MCU, which can last for 5 days and can be triggered without pressing. Its detection sensitivity reached 94.05%, and its feedback time is shorter than three seconds.