Development of a fall detecting system for the elderly residents

Chia Chi Wang*, Chih Yen Chiang, Po Yen Lin, Yi Chieh Chou, I. Ting Kuo, Chih Ning Huang, Chia Tai Chan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

97 Scopus citations

Abstract

Accidental falls are common causes of serious injury and health threats in the elder population. To deliver adequate medical support, the robust and immediate falls detection is important. Since the fall detection in the elderly remains a major challenge in the public health domain, effective fall-detection will provide urgent support and dramatically reduce the cost of medical care. In this work, we propose a fall-detecting system placing an accelerometer on the head level and using an algorithm to distinguish between falls and daily activities. The experimental results have demonstrated the proposed scheme with high reliability and sensitivity on fall detection. The system is not only cost effectively but also potable. It fulfills the requirements of fall detection.

Original languageEnglish
Title of host publication2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
PublisherIEEE Computer Society
Pages1359-1362
Number of pages4
ISBN (Print)9781424417483
DOIs
StatePublished - 2008
Event2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008 - Shanghai, China
Duration: 16 May 200818 May 2008

Publication series

Name2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008

Conference

Conference2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008
Country/TerritoryChina
CityShanghai
Period16/05/0818/05/08

Keywords

  • Accelerometers
  • Component
  • Elderly resident
  • Fall detect

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