DocumentCode :
144868
Title :
Elderly care notification system using hand posture recognition
Author :
Sawasdee, Sutang ; Pumrin, Suree
Author_Institution :
Dept. of Electr. Eng., Chulalongkorn Univ., Bangkok, Thailand
fYear :
2014
fDate :
6-8 May 2014
Firstpage :
304
Lastpage :
309
Abstract :
This paper proposes a hand posture recognition as an assistive tool for elderly care. The system uses Haar-like feature, Principle Component Analysis (PCA), and simulation web server for detection, recognition, and alert by order. Our system interprets the hand sign captured by web camera and alerts a caregiver via smart phone. Besides, a caregiver can also periodically check needs of an elder from a smart phone. So a caregiver can do other tasks more efficiently because he/she need not to be with an elder at all times. The empirical results show satisfactory performance of PCA and contour detection with hand posture recognition.
Keywords :
assisted living; cameras; edge detection; feature extraction; gesture recognition; handicapped aids; principal component analysis; smart phones; Haar-like feature; PCA; Web camera; assistive tool; caregiver; contour detection; elderly care notification system; hand posture recognition; hand sign; principle component analysis; simulation Web server; smart phone; Classification algorithms; Feature extraction; Principal component analysis; Senior citizens; Smart phones; Thumb; AdaBoost algorithm; Haar-like feature; Hand posture recogniotion; Principle Component Analysis; elderly care;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information and Communication Technology and it's Applications (DICTAP), 2014 Fourth International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4799-3723-3
Type :
conf
DOI :
10.1109/DICTAP.2014.6821701
Filename :
6821701
Link To Document :
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