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Fall Detection with Three-Axis Accelerometer and Magnetometer in a Smartphone
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hwang, Soo-Young Ryu, Mun-Ho Yang, Yoon-Seok Lee, Nak-Bum |
| Copyright Year | 2012 |
| Abstract | As an aging society approaches, the issue of injuries from falls by the elderly has emerged anew. Because of the dangers involved, research has recently been conducted on various types of falls; in particular, considerable research has been carried out on the detection and prevention of falls. We design an algorithm for the detection of falls using smartphones equipped with three-axis accelerometers and magnetometers. We propose a method of fall detection that recognizes a fall if the magnitudes of acceleration and angular displacement exceed given thresholds. Experiments to detect falls are performed in four directions: forward, backward, left, and right. Based on data from 200 experimental falls, obtained by fastening a smartphone to a belt worn around the waist, an overall detection rate of 95% was achieved, corresponding to direction-specific rates of 94% for forward falls, 100% for backward falls, 94% for leftward falls and 92% for rightward falls. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://onlinepresent.org/proceedings/vol6_2012/10.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
