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http://dx.doi.org/10.9716/KITS.2012.11.sup.113

Real-time Fall Detection with a Smartphone  

Hwang, Soo-Young (전북대학교 헬스케어공학과)
Ryu, Mun-Ho (전북대학교 바이오메디컬공학부)
Kim, Je-Nam (전북대학교 헬스케어공학과)
Yang, Yoon-Seok (전북대학교 바이오메디컬공학부)
Publication Information
Journal of Information Technology Services / v.11, no.sup, 2012 , pp. 113-121 More about this Journal
Abstract
In this study, a real-time fall detection system based on a smartphone equipped with three-axis accelerometer and magnetometer was proposed and evaluated. The proposed system provides a service that detects falls in real time, triggers alarm sound, and sends emergency SMS(Short Message Service) if the alarm is not deactivated within a predefined time. When both of the acceleration magnitude and angle displacement of the smartphone attached to waist belt are greater than predefined thresholds, it is detected as a fall. The proposed system was evaluated against activities of daily living(walking, jogging, sitting down, standing up, ascending stairs, and descending stairs) and unintended falls induced by a proprietary pneumatic-powered mattress. With the thresholds of acceleration magnitude 1.7g and angle displacement $80^{\circ}$, it showed 96.5% accuracy to detect the falls while all the activities of daily living were not detected as fall.
Keywords
Smartphone; Fall Detection; Accelerometer; Magnetometer;
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Times Cited By KSCI : 2  (Citation Analysis)
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