Fall Detection Based on Tilt Angle and Acceleration Variations
Wu-Xiang Weng, Shou‐Chih Lo · 2016
Fall accidents cause serious injury to the elderly. In an aging society, there may be no person to take care of an elder anytime. Therefore, an automatic fall detection system becomes important. Although a fall can be more accurately detected by mounting several sensors on a human body, there have uncomfortable and inconvenient problems. It becomes a research trend to directly use a smartphone to help to detect and deal with fall accidents. In this paper, the acceleration sensor of a smartphone is applied to observe the change of angles and acceleration when a person carrying a mobile phone falls down. The corresponding detection application is then developed on a smartphone.