DocumentCode :
517990
Title :
A sitting posture surveillance system based on image processing technology
Author :
Mu, Lan ; Li, Ke ; Wu, Chunhong
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Volume :
1
fYear :
2010
fDate :
16-18 April 2010
Abstract :
A surveillance system for human sitting posture is presented. The goal of the proposed system is to prevent myopia and backbone/neck diseases caused by using computers. First, the profile of sitting posture is extracted; Second, the profile features, the face´s location and size, is further extracted through pattern matching based on Hausdorff distance; Finally, by comparing the real-time profile features and the standard profile features, the surveillance system will remind the user to correct his/her sitting posture.
Keywords :
biomechanics; diseases; face recognition; feature extraction; image matching; video surveillance; vision defects; Hausdorff distance; backbone disease prevention; face location; human sitting posture; image processing technology; myopia prevention; neck disease prevention; pattern matching; profile feature extraction; real time profile feature; sitting posture surveillance system; standard profile feature; Application software; Color; Colored noise; Diseases; Head; Image processing; Neck; Pattern matching; Spine; Surveillance; Hausdorff distance; image processing; pattern matching; sitting posture surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
Type :
conf
DOI :
10.1109/ICCET.2010.5485381
Filename :
5485381
Link To Document :
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