Assistance instruments detection using geometry constrained knowledge for health care centers

Chin Wen Wu, Chin De Liu, Pau-Choo Chung

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

1 Citation (Scopus)

Abstract

A walking frame and wheelchair detection system that uses geometry constrained knowledge is proposed for health care centers. The system can early detect an accident occur when the elderly get on bed. Based on the space relative constrained, accurate results are obtained for wheelchair position detection. A tracking algorithm is utilized to track and predict wheelchair motion with orientation. The developed approach has been applied for the early detection accidents in a health care center. Experiment results show that the algorithm obtains desirable performance and accuracy.

Original languageEnglish
Title of host publication2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings
DOIs
Publication statusPublished - 2010 Jul 14
Event5th International Conference on Future Information Technology, FutureTech 2010 - Busan, Korea, Republic of
Duration: 2010 May 202010 May 24

Publication series

Name2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings

Other

Other5th International Conference on Future Information Technology, FutureTech 2010
CountryKorea, Republic of
CityBusan
Period10-05-2010-05-24

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Cite this

Wu, C. W., Liu, C. D., & Chung, P-C. (2010). Assistance instruments detection using geometry constrained knowledge for health care centers. In 2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings [5482662] (2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings). https://doi.org/10.1109/FUTURETECH.2010.5482662