| Literature DB >> 17280991 |
Jay Chen1, Karric Kwong, Dennis Chang, Jerry Luk, Ruzena Bajcsy.
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.Entities:
Year: 2005 PMID: 17280991 DOI: 10.1109/IEMBS.2005.1617246
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN: 1557-170X