Title :
Detection of unusual facial expression for human support systems
Author :
Suzuki, Kotaro ; Kobayashi, Junya ; Takeshima, Toru ; Yamada, Keiichi
Author_Institution :
Meijo Univ., Nagoya
Abstract :
This paper proposes a method for detection unusual or abnormal facial expression from a video image, by using Gabor feature and one-class SVM (OCSVM), for the purpose of monitoring human status and detecting unexpected change in humanpsilas physical condition.
Keywords :
face recognition; support vector machines; Gabor feature; human support system; one-class SVM; support vector machines; unusual facial expression detection; Cameras; Condition monitoring; Face detection; Face recognition; Humans; Mouth; Pattern recognition; Supervised learning; Support vector machines; Training data;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758509
