A Novel Fall Activity Recognition Method for Wireless Sensor Networks
Health care targeted for home activity is playing an important role in daily lives as the number of elderly person is increasing sharply. Researches pointed out that one third of 65-and-over aged person fall per year. Some detection related work made use of accelerometers or gyroscopes, some use passive infrared or acoustic sensors. But there were some false alarms. Falls can be an unpredicted and dangerous event. A system based on wireless sensor networks to detect the falls for old and resident was proposed in this paper. The authors provided a method to minimize the false alarm rate of fall detection as well. Besides, they can detect falls that did not trigger the alarm which was intervened by outside forces.