| Literature DB >> 21095967 |
Alan K Bourke1, Pepijn van de Ven, Mary Gamble, Raymond O'Connor, Kieran Murphy, Elizabeth Bogan, Eamonn McQuade, Paul Finucane, Gearoid Olaighin, John Nelson.
Abstract
This study aims to evaluate a variety of existing and novel fall detection algorithms, for a waist mounted accelerometer based system. Algorithms were tested against a comprehensive data-set recorded from 10 young healthy subjects performing 240 falls and 120 activities of daily living and 10 elderly healthy subjects performing 240 scripted and 52.4 hours of continuous unscripted normal activities.Mesh：
Year: 2010 PMID： 21095967 DOI： 10.1109/IEMBS.2010.5626364
Source DB: PubMed Journal: Annu Int Conf IEEE Eng Med Biol Soc ISSN： 2375-7477