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dc.contributor.authorBashir, Mohammed Ghandi
dc.contributor.authorRamachandran, Nagarajan, Prof. Dr.
dc.contributor.authorHazry, Desa, Assoc. Prof. Dr.
dc.date.accessioned2012-10-29T04:48:32Z
dc.date.available2012-10-29T04:48:32Z
dc.date.issued2010-10-16
dc.identifier.isbn978-967-5760-03-7
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21564
dc.descriptionInternational Postgraduate Conference On Engineering (IPCE 2010), 16th - 17th October 2010 organized by Centre for Graduate Studies, Universiti Malaysia Perlis (UniMAP) at School of Mechatronic Engineering, Pauh Putra Campus, Perlis, Malaysia.en_US
dc.description.abstractRecently, we implemented a real-time expert system that receives a live video stream of the face of a human subject and recognizes any of the six basic facial emotions expressed by the subject. The expert system was implemented using the Guided Particle Swarm Optimization (GPSO) algorithm which we earlier developed and was shown to have a very good recognition success rate. We suggested in our earlier publications about the expert system that a possible application is to embed the system into a robot that could be deployed to assist bed-ridded and highly disabled patients who can only communicate through facial expressions. In this paper, we present our first attempt towards achieving this goal by using the expert system to control a humanoid robot. The system receives input from a wireless video camera mounted on the robot, evaluates and detects the emotions expressed in the video in real-time, and instructs the robot to perform some preprogrammed actions according to the detected emotion.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Postgraduate Conference on Engineering (IPCE 2010)en_US
dc.subjectEmotion detectionen_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectFacial emotionsen_US
dc.subjectFacial expressionsen_US
dc.subjectFacial action unitsen_US
dc.titleEmotion detecting humanoid – the use of GPSO Algorithmen_US
dc.typeWorking Paperen_US
dc.publisher.departmentCentre for Graduate Studiesen_US
dc.contributor.urlbmghandi@gmail.comen_US
dc.contributor.urlnagarajan@unimap.edu.myen_US
dc.contributor.urlhazry@unimap.edu.myen_US


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