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dc.contributor.authorKartigayan, M.-
dc.contributor.authorMohamed Rizon, Mohamed Juhari-
dc.contributor.authorSazali, Yaacob-
dc.contributor.authorNagarajan, R.-
dc.date.accessioned2009-07-07T08:37:45Z-
dc.date.available2009-07-07T08:37:45Z-
dc.date.issued2006-01-23-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6348-
dc.descriptionOrganized by Oita University (Japan), 23rd - 25th January 2006 at Oita, Japan.en_US
dc.description.abstractThe facial emotion is playing a vital role in visual communication system. The vision system is being integrated to the robot to recognize the facial gestures or emotion. The integration of the vision system and EMG sensors enables designing advanced emotion recognition package. The main objective of the paper is to discuss the various types of feature extraction and recognition system for face emotion and its application.en_US
dc.language.isoenen_US
dc.publisherOita Universityen_US
dc.relation.ispartofseriesThe International Symposium on Articial Life and Robotics (AROB2006)en_US
dc.subjectFace Emotion Recognition (FER)en_US
dc.subjectDetectorsen_US
dc.subjectNeural networken_US
dc.subjectRecognition systemen_US
dc.subjectFace emotionen_US
dc.titleFace Emotion Recognition - A surveyen_US
dc.typeWorking Paperen_US
Appears in Collections:Conference Papers
Sazali Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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