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http://dx.doi.org/10.5369/JSST.2011.20.6.420

Telemonitoring System of Fall Detection for the Elderly  

Lee, Yong-Gyu (Department of Electronic and Information Engineering, Seoul National University of Science and Technology)
Cheon, Dae-Jin (Department of Electronic and Information Engineering, Seoul National University of Science and Technology)
Yoon, Gil-Won (Department of Electronic and Information Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of Sensor Science and Technology / v.20, no.6, 2011 , pp. 420-427 More about this Journal
Abstract
The population of elderly people increases rapidly as our society moves towards the aged one. Healthcare for the elderly becomes an important issue and falling down is one of the critical problems although not well recognized. In this study, a fall detection system was developed using a 3-axis accelerometer. Analyzing fall patterns, we took into account the degree of impact, posture angle, the repetitions of similar movements and the activities after a potential fall and proposed an algorithm of fall detection. Information of the fall sensor was sent to a remote healthcare server through the wireless networks of Zigbee and WLAN. Our system was designed to monitor multiples users. 12 persons participated in experiment and each one performed 24 different movements. Our proposed algorithm was compared with other reported ones. Our method produced the excellent results having a sensitivity of 96.4 % and a specificity of 100 % whereas other methods had a sensitivity range between 87.5 % and 94.8 % and a specificity range between 63.5 % and 83.3 %.
Keywords
Accelerometer; Elderly; Fall Detection; Sensor Network; Telemonitoring;
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Times Cited By KSCI : 2  (Citation Analysis)
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