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Wearable sensors for reliable fall detection

Wearable sensors for reliable fall detection

Conference Proceedings 4: 3551-3554

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.

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Accession: 050965586

Download citation: RISBibTeXText

PMID: 17280991

DOI: 10.1109/iembs.2005.1617246

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