Assistance instruments detection using geometry constrained knowledge for health care centers

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

doi:10.1109/FUTURETECH.2010.5482662

Assistance instruments detection using geometry constrained knowledge for health care centers

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

Institute of Computer and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings
DOIs	https://doi.org/10.1109/FUTURETECH.2010.5482662
Publication status	Published - 2010 Jul 14
Event	5th International Conference on Future Information Technology, FutureTech 2010 - Busan, Korea, Republic of Duration: 2010 May 20 → 2010 May 24

Publication series

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

Other

Other	5th International Conference on Future Information Technology, FutureTech 2010
Country	Korea, Republic of
City	Busan
Period	10-05-20 → 10-05-24

Fingerprint

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

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title = "Assistance instruments detection using geometry constrained knowledge for health care centers",

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.",

author = "Wu, {Chin Wen} and Liu, {Chin De} and Pau-Choo Chung",

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Wu, CW, Liu, CD & 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, 5th International Conference on Future Information Technology, FutureTech 2010, Busan, Korea, Republic of, 10-05-20. https://doi.org/10.1109/FUTURETECH.2010.5482662

Assistance instruments detection using geometry constrained knowledge for health care centers. / Wu, Chin Wen; Liu, Chin De; Chung, Pau-Choo.

2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings. 2010. 5482662 (2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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

Access to Document

10.1109/FUTURETECH.2010.5482662