Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information

—Falls are dangerous for the aged population as they can adversely affect health. Therefore, many fall detection systems have been developed. However, prevalent methods only use accelerometers to isolate falls from activities of daily living (ADL). This makes it difficult to distinguish real falls from certain fall-like activities such as sitting down quickly and jumping, resulting in many false positives. Body orientation is also used as a means of detecting falls, but it is not very useful when the ending position is not horizontal, e.g. falls happen on stairs. In this paper we present a novel fall detection system using both accelerometers and gyroscopes. We divide human activities into two categories: static postures and dynamic transitions. By using two tri-axial accelerometers at separate body locations, our system can recognize four kinds of static postures: standing, bending, sitting, and lying. Motions between these static postures are considered as dynamic transitions. Lin...

• Type: Conference
• Year: 2009
• Where: BSN
• Authors: Qiang Li, John A. Stankovic, Mark A. Hanson, Adam T. Barth, John Lach, Gang Zhou
• Keywords: Accelerometers, BSN 2009, Fall Detection, Sensor Networks, Static Postures