title: Wearable sensors for reliable fall detection.
abstract: 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.
authors.affiliation: Dept. of Electr. Eng., California Univ., Berkeley, CA.
authors.forename: Jay
authors.initials: J
authors.lastname: Chen
authors.forename: Karric
authors.initials: K
authors.lastname: Kwong
authors.forename: Dennis
authors.initials: D
authors.lastname: Chang
authors.forename: Jerry
authors.initials: J
authors.lastname: Luk
authors.forename: Ruzena
authors.initials: R
authors.lastname: Bajcsy