TY  - JOUR
PY  - 2014//
TI  - A collaborative computing framework of cloud network and WBSN applied to fall detection and 3-D motion reconstruction
JO  - IEEE journal of biomedical and health informatics
A1  - Lai, Chin-Feng
A1  - Chen, Min
A1  - Pan, Jeng-Shyang
A1  - Youn, Chan-Hyun
A1  - Chao, Han-Chieh
SP  - 457
EP  - 466
VL  - 18
IS  - 2
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 2168-2194
UR  - http://dx.doi.org/10.1109/JBHI.2014.2298467
ID  - ref1
ER  -