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Wearable Sensors for Reliable Fall Detection

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5 Author(s)
J. Chen ; Department of Electrical Engineering, and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720. ; K. Kwong ; D. Chang ; J. Luk
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Unintentional falls are a common cause of severe injury in the elderly population. By introducing small, non-invasive sensor motes in conjunction with a wireless network, the Ivy Project aims to provide a path towards more independent living for the elderly. Using a small device worn on the waist and a network of fixed motes in the home environment, we can detect the occurrence of a fall and the location of the victim. Low-cost and low-power MEMS accelerometers are used to detect the fall while RF signal strength is used to locate the person

Published in:

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

Date of Conference:

17-18 Jan. 2006