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dc.contributor.authorBashir, Mohammed Ghandi
dc.contributor.authorNagarajan, R.
dc.contributor.authorHazry, Desa
dc.date.accessioned2009-11-13T01:57:08Z
dc.date.available2009-11-13T01:57:08Z
dc.date.issued2009-10-11
dc.identifier.citationp.2A1 1 - 2A1 5en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7269
dc.descriptionOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.en_US
dc.description.abstractIn this paper, we present a novel approach to human facial emotion detection by applying a modified version of the Particle Swarm Optimization (PSO) algorithm, which we called Guided Particle Swarm Optimization (GPSO). Our approach is based on tracking the movements of facial action units (AUs) that are placed on the face of a subject and captured in video clips. We defined particles that form swarms as vectors consisting of points from each domain of the AUs considered. Particles are allowed to move around the effectively n-dimensional search space in search of the emotion being expressed in each frame of a video clip (where n is the number of action units being tracked). Since there are more than one possible target emotions at any point in time, multiple swarms are used, with each swarm having a specific emotion as its target. We have implemented and tested the algorithm on video clips that contain all the six basic emotions, namely happy, sad, surprise, disgust, anger and fear. Our results show the algorithm to have a promising success rate.en_US
dc.description.sponsorshipTechnical sponsored by IEEE Malaysia Sectionen_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)en_US
dc.subjectEmotion detectionen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectPSOen_US
dc.subjectFacial emotionsen_US
dc.subjectFacial expressionen_US
dc.subjectFacial action unitsen_US
dc.subjectSwarm intelligenceen_US
dc.titleFacial emotion detection using Guided Particle Swarm Optimization (GPSO)en_US
dc.typeWorking Paperen_US
dc.contributor.urlbmghandi@gmail.comen_US


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