Development of novel algorithm and real-time monitoring ambulatory system using bluetooth module for fall detection in the elderly

Novel algorithm and real-time ambulatory monitoring system for fail detection in elderly people is described. Our system is comprised of accelerometer, tilt sensor and gyroscope. For real-time monitoring, we used Bluetooth(TM). Accelerometer measures kinetic force, tilt sensor and gyroscope estimates body posture. Also, We suggested algorithm using signals which obtained from the system attached to the chest for fail detection. To evaluate our system and algorithm, we experimented on three people aged over 26 years. The experiment of four cases such as forward fail, backward fail, side fail and sit-stand was repeated ten times and the experiment in daffy life activity was performed one time to each subject. These experiments showed that our system and algorithm could distinguish beween fatting and daily life activity. Moreover, the accuracy of fail detection is 96.7%. Our system is especially adapted for long-time and real-time ambulatory monitoring of elderly people in emergency situation.