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An enhanced fall detection system for elderly person monitoring using consumer home networks

Wang, J., Zhang, Z., Bin, L., Lee, S. and Sherratt, S. (2014) An enhanced fall detection system for elderly person monitoring using consumer home networks. IEEE Transactions on Consumer Electronics, 60 (1). pp. 20-29. ISSN 0098-3063

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To link to this item DOI: 10.1109/TCE.2014.6780921

Abstract/Summary

Various fall-detection solutions have been previously proposed to create a reliable surveillance system for elderly people with high requirements on accuracy, sensitivity and specificity. In this paper, an enhanced fall detection system is proposed for elderly person monitoring that is based on smart sensors worn on the body and operating through consumer home networks. With treble thresholds, accidental falls can be detected in the home healthcare environment. By utilizing information gathered from an accelerometer, cardiotachometer and smart sensors, the impacts of falls can be logged and distinguished from normal daily activities. The proposed system has been deployed in a prototype system as detailed in this paper. From a test group of 30 healthy participants, it was found that the proposed fall detection system can achieve a high detection accuracy of 97.5%, while the sensitivity and specificity are 96.8% and 98.1% respectively. Therefore, this system can reliably be developed and deployed into a consumer product for use as an elderly person monitoring device with high accuracy and a low false positive rate.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:36557
Uncontrolled Keywords:Wireless Sensor Networks, Fall Detection System, Elderly Monitoring, Heart Rate Fluctuation, Sensitivity.
Publisher:IEEE Consumer Electronics Society

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