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Facial emotion detection using GPSO and Lucas-Kanade algorithms

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Main Authors: Bashir, Mohammed Ghandi, Nagarajan, Ramachandran, Prof. Dr., Hazry, Desa, Prof. Madya Dr.
Other Authors: bmghandi@gmail.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2010
Subjects:
Emotion detection
Facial action units
Facial emotions
Facial expressions
LK
Lucas-Kanade
Particle swarm optimization
PSO
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10357
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spelling my.unimap-103572010-12-01T03:14:40Z Facial emotion detection using GPSO and Lucas-Kanade algorithms Bashir, Mohammed Ghandi Nagarajan, Ramachandran, Prof. Dr. Hazry, Desa, Prof. Madya Dr. bmghandi@gmail.com nagarajan@unimap.edu.my hazry@unimap.edu.my Emotion detection Facial action units Facial emotions Facial expressions LK Lucas-Kanade Particle swarm optimization PSO Link to publisher's homepage at http://ieeexplore.ieee.org/ Emotion detection is receiving a lot of attention from researchers due to its potentials in improving humancomputer interaction. Recently, we proposed a modification to the Particle Swarm Optimization (PSO) algorithm for the purpose applying it to emotion detection. Our algorithm, which we called Guided Particle Swarm Optimization (GPSO), involves studying the movements of specific points, called action units (AUs), placed on the face of a subject, as the subject expresses different emotions. A swarm of particles is defined such that each particle consists of components from the neighborhood of each AU. However, instead of applying the pure PSO on the swarm to detect emotions, we made the algorithm to take into account the positions of the AUs - thus, the swarm is effectively guided to converge on the path of the AUs. We showed this approach to work very well and made the swarm to converge very quickly to identify the emotion being expressed. One limitation to our earlier system was that the AUs must be physically specified on the subject before the video clips are recorded. In this paper, we present an improvement on the system where we specify the AUs at runtime in a video stream and then apply LK algorithm to keep track of their positions, thus making the system to work on real time basis with the same promising detection success rates. Potential application areas of our system include medical engineering, forensic applications by police and psychiatric applications. 2010-12-01T03:14:40Z 2010-12-01T03:14:40Z 2010-05-11 Working Paper p.1-6 978-1-4244-6233-9 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5556754 http://hdl.handle.net/123456789/10357 en Proceedings of the International Conference on Computer and Communication Engineering (ICCCE) 2010 Institute of Electrical and Electronics Engineers (IEEE)
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
Facial action units
Facial emotions
Facial expressions
LK
Lucas-Kanade
Particle swarm optimization
PSO
spellingShingle Emotion detection
Facial action units
Facial emotions
Facial expressions
LK
Lucas-Kanade
Particle swarm optimization
PSO
Bashir, Mohammed Ghandi
Nagarajan, Ramachandran, Prof. Dr.
Hazry, Desa, Prof. Madya Dr.
Facial emotion detection using GPSO and Lucas-Kanade algorithms
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 bmghandi@gmail.com
author_facet bmghandi@gmail.com
Bashir, Mohammed Ghandi
Nagarajan, Ramachandran, Prof. Dr.
Hazry, Desa, Prof. Madya Dr.
format Working Paper
author Bashir, Mohammed Ghandi
Nagarajan, Ramachandran, Prof. Dr.
Hazry, Desa, Prof. Madya Dr.
author_sort Bashir, Mohammed Ghandi
title Facial emotion detection using GPSO and Lucas-Kanade algorithms
title_short Facial emotion detection using GPSO and Lucas-Kanade algorithms
title_full Facial emotion detection using GPSO and Lucas-Kanade algorithms
title_fullStr Facial emotion detection using GPSO and Lucas-Kanade algorithms
title_full_unstemmed Facial emotion detection using GPSO and Lucas-Kanade algorithms
title_sort facial emotion detection using gpso and lucas-kanade algorithms
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10357
_version_ 1643789830575882240
score 13.214268

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