Design of fall detection system with floor pressure and infrared image

Huan Wen Tzeng*, Mei Yung Chen, Jai Yu Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

50 Citations (Scopus)

Abstract

Due to the advancement of technology and medicine, people begin to pay more attention to the quality improvement of health care. Many researches show that the fall accident occupies 60% of all accidents in a home. The fall accident may cause the condition of an elder deteriorated or producing complications. As a result, it increases the burden of a family and seriously wastes medical resources from the society. Thus, preventing the fall accident and detect it immediately is one of the important topics regarding the quality improvement of health care. A unique feature of the proposed system is that we use a Infrared Camera to capture images simultaneously and eliminate any blind spot. We can adjust the detection sensitivity on a case-by-case basis to reduce unnecessary alarms, and put more attention on the elderly with special diseases or conditions. The experimental results show that using a simple fall detection algorithm and combining it with simple personal information can raise fall detection accuracy and reliability effectively in a particular environment.

Original languageEnglish
Title of host publication2010 International Conference on System Science and Engineering, ICSSE 2010
Pages131-135
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 International Conference on System Science and Engineering, ICSSE 2010 - Taipei, Taiwan
Duration: 2010 Jul 12010 Jul 3

Publication series

Name2010 International Conference on System Science and Engineering, ICSSE 2010

Other

Other2010 International Conference on System Science and Engineering, ICSSE 2010
Country/TerritoryTaiwan
CityTaipei
Period2010/07/012010/07/03

Keywords

  • Expert system
  • Fall detection
  • Infrared image
  • Pressure sensor

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering

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