Wearable Sensors for Reliable Fall Detection

  title={Wearable Sensors for Reliable Fall Detection},
  author={J. C. Chen and Karric Kwong and D. Chang and James Ka-Hay Luk and Ruzena Bajcsy},
  journal={2005 IEEE Engineering in Medicine and Biology 27th Annual Conference},
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… CONTINUE READING
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