Facial emotion detection using Guided Particle Swarm Optimization (GPSO)

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Main Authors:	Bashir, Mohammed Ghandi, Nagarajan, R., Hazry, Desa
Other Authors:	bmghandi@gmail.com
Format:	Working Paper
Language:	English
Published:	Universiti Malaysia Perlis 2009
Subjects:	Emotion detection Particle swarm optimization PSO Facial emotions Facial expression Facial action units Swarm intelligence
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/7269
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-7269
record_format	dspace
spelling	my.unimap-72692010-01-15T08:02:21Z Facial emotion detection using Guided Particle Swarm Optimization (GPSO) Bashir, Mohammed Ghandi Nagarajan, R. Hazry, Desa bmghandi@gmail.com Emotion detection Particle swarm optimization PSO Facial emotions Facial expression Facial action units Swarm intelligence Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. In 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. 2009-11-13T01:57:08Z 2009-11-13T01:57:08Z 2009-10-11 Working Paper p.2A1 1 - 2A1 5 http://hdl.handle.net/123456789/7269 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Emotion detection Particle swarm optimization PSO Facial emotions Facial expression Facial action units Swarm intelligence
spellingShingle	Emotion detection Particle swarm optimization PSO Facial emotions Facial expression Facial action units Swarm intelligence Bashir, Mohammed Ghandi Nagarajan, R. Hazry, Desa Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
description	Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2	bmghandi@gmail.com
author_facet	bmghandi@gmail.com Bashir, Mohammed Ghandi Nagarajan, R. Hazry, Desa
format	Working Paper
author	Bashir, Mohammed Ghandi Nagarajan, R. Hazry, Desa
author_sort	Bashir, Mohammed Ghandi
title	Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
title_short	Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
title_full	Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
title_fullStr	Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
title_full_unstemmed	Facial emotion detection using Guided Particle Swarm Optimization (GPSO)
title_sort	facial emotion detection using guided particle swarm optimization (gpso)
publisher	Universiti Malaysia Perlis
publishDate	2009
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/7269
_version_	1643788743656603648

Facial emotion detection using Guided Particle Swarm Optimization (GPSO)

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