Related Work
Many researchers have been carrying out studies to support the elderly in their daily lives [2-6]. The goal of these studies has been to implement a system that can quickly and accurately detect abnormal conditions and notify their families about these. Some researchers [2-4] have tried to detect abnormal activities in the elderly us- ing data collected by many noncontact sensors, by using records obtained from a life supplying system and omni- directional vision.
Wireless sensors have been used in various studies to detect falls that can cause serious injuries to the elderly. Chen et al. [5] proposed a wearable fall detector using a triaxial accelerometer and an embedded processor. This detector detected impact with the accelerometer. It also detected differences in body orientation before