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dc.contributor.authorMuthukaruppan, Karthigayan
dc.contributor.authorMohd Rizon, Mohamed Juhari
dc.contributor.authorRamachandran, Nagarajan
dc.date.accessioned2009-07-14T04:23:21Z
dc.date.available2009-07-14T04:23:21Z
dc.date.issued2007
dc.identifier.citationAdvances in Modelling : Series B : Signal Processing and Pattern Recognition , vol.50 (3), pages 42-64.en_US
dc.identifier.issn0761-2486
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/6438
dc.descriptionLink to publisher's homepage at http://www.amse-modeling.org/Periodical_AMSE.htmlen_US
dc.description.abstractThis paper presents a decade long research efforts of recognizing human emotion conveyed through facial expressions (face emotion). Face emotion recognition starts from processing still and video camera images and identifying the variations of features of face elements such as eyes, lips etc. Due to developments of bio-sensors, emotion measurement and categorization have been performed by processing bio-signals, for example, EMG and EEG, measured from the surface of human body. Several other bio-activities generated from within the human body such as temperature variations, changes in skin color, pulse rate and blood pressure variations were also used in recognizing the emotion. Several processing methodologies documented by researchers are presented in this paper with their relative merits and applications. Emotion controlled robots are in the increase to help severely disabled and aged persons to have a comfortable life. The objective of this paper is to illustrates how experts in various research areas such as sensor development, data acquisition, signal processing, emotion detection, emotion categorization and emotion controlled robotics are coming together to help the blind, dumb, disabled and aged people to lead a comfortable life.en_US
dc.language.isoenen_US
dc.publisherAssociation for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE)en_US
dc.subjectFace emotionen_US
dc.subjectRecognition systemen_US
dc.subjectFace Emotion Recognition (FER)en_US
dc.subjectDetectorsen_US
dc.subjectNeural networks (Computer science)en_US
dc.titleA survey on face emotion recognition and applicationsen_US
dc.typeArticleen_US


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