title: A collaborative computing framework of cloud network and WBSN applied to fall detection and 3-D motion reconstruction.
abstract: As cloud computing and wireless body sensor network technologies become gradually developed, ubiquitous healthcare services prevent accidents instantly and effectively, as well as provides relevant information to reduce related processing time and cost. This study proposes a co-processing intermediary framework integrated cloud and wireless body sensor networks, which is mainly applied to fall detection and 3-D motion reconstruction. In this study, the main focuses includes distributed computing and resource allocation of processing sensing data over the computing architecture, network conditions and performance evaluation. Through this framework, the transmissions and computing time of sensing data are reduced to enhance overall performance for the services of fall events detection and 3-D motion reconstruction.
authors.forename: Chin-Feng
authors.initials: CF
authors.lastname: Lai
authors.forename: Min
authors.initials: M
authors.lastname: Chen
authors.forename: Jeng-Shyang
authors.initials: JS
authors.lastname: Pan
authors.forename: Chan-Hyun
authors.initials: CH
authors.lastname: Youn
authors.forename: Han-Chieh
authors.initials: HC
authors.lastname: Chao
mesh_terms: D000058:Accidental Falls; D000465:Algorithms; D003195:Computer Communication Networks; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D020407:Internet; D058998:Remote Sensing Technology / Q000379:methods*; D059015:Wireless Technology