A collaborative computing framework of cloud network and WBSN applied to fall detection and 3-D motion reconstruction

Chin Feng Lai, Min Chen, Jeng Shyang Pan, Chan Hyun Youn, Han Chieh Chao

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

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.

Original languageEnglish
Article number6704809
Pages (from-to)457-466
Number of pages10
JournalIEEE Journal of Biomedical and Health Informatics
Volume18
Issue number2
DOIs
Publication statusPublished - 2014 Mar

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Health Information Management

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