A Real-Time Low-Complexity Fall Detection System on the Smartphone
Weihao Qu, Feng Dan Lin, Wenyao Xu · 2016
The importance of detecting falls in real-time is more and more emphasized recently. In this paper, we develop a real-time fall detection system on the smartphone. It is based on our low-complexity fall detection algorithm [1] that can detect the fall after the fall event happens. The system can distinguish dangerous falls by setting a monitoring time. The system is implemented on the Android platform and targeted on low energy consumption and fast processing, which can be seamlessly applied into wearable products.