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GPSO versus GA in facial emotion detection

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: Bashir, Mohammed Ghandi, Ramachandran, Nagarajan, Prof. Dr., Sazali, Yaacob, Prof. Dr., Hazry, Desa, Assoc. Prof. Dr.
Other Authors: bmghandi@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Emotion detection
Genetic algorithm (GA)
Facial emotions
Facial expressions
Guided Particle Swarm Optimization (GPSO)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20578
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spelling my.unimap-205782016-06-12T14:28:02Z GPSO versus GA in facial emotion detection Bashir, Mohammed Ghandi Ramachandran, Nagarajan, Prof. Dr. Sazali, Yaacob, Prof. Dr. Hazry, Desa, Assoc. Prof. Dr. bmghandi@gmail.com nagarajan@unimap.edu.my Emotion detection Genetic algorithm (GA) Facial emotions Facial expressions Guided Particle Swarm Optimization (GPSO) International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. We recently proposed a modification to the widely known Particle Swarm Optimization (PSO) algorithm so that it can be applied as a method for facial emotion recognition. We named our proposed modification to PSO as the Guided Particle Swarm Optimization (GPSO) algorithm. GPSO was used to implement a real-time facial emotion recognition software which was tested with 20 subjects of different ethnic backgrounds. The result was found to be good both in terms of recognition success rate (85% on the average) and recognition speed (31.58 frames per second). As a follow-up to this, we wanted to investigate how our novel (GPSO) approach compare with existing popular classification methods, such as Neural Network and Genetic Algorithm (GA). In this paper we report the results of our attempt to answer this question with respect to GA. We defined suitable GA objective functions and other GA elements and operators such as genes, chromosomes, crossover and mutation in terms of the emotion recognition problem and then used these to reimplement our emotion recognition software. The resulting software was tested using the video recordings of the same 20 subjects that were used to test the GPSO-based system. Our results show that while the recognition success rate using GA is still reasonable, the recognition speed is very slow, suggesting that the GA method may not be suitable for real-time emotion recognition applications. 2012-08-09T00:53:35Z 2012-08-09T00:53:35Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20578 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
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
Genetic algorithm (GA)
Facial emotions
Facial expressions
Guided Particle Swarm Optimization (GPSO)
spellingShingle Emotion detection
Genetic algorithm (GA)
Facial emotions
Facial expressions
Guided Particle Swarm Optimization (GPSO)
Bashir, Mohammed Ghandi
Ramachandran, Nagarajan, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Hazry, Desa, Assoc. Prof. Dr.
GPSO versus GA in facial emotion detection
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 bmghandi@gmail.com
author_facet bmghandi@gmail.com
Bashir, Mohammed Ghandi
Ramachandran, Nagarajan, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Hazry, Desa, Assoc. Prof. Dr.
format Working Paper
author Bashir, Mohammed Ghandi
Ramachandran, Nagarajan, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Hazry, Desa, Assoc. Prof. Dr.
author_sort Bashir, Mohammed Ghandi
title GPSO versus GA in facial emotion detection
title_short GPSO versus GA in facial emotion detection
title_full GPSO versus GA in facial emotion detection
title_fullStr GPSO versus GA in facial emotion detection
title_full_unstemmed GPSO versus GA in facial emotion detection
title_sort gpso versus ga in facial emotion detection
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20578
_version_ 1643793119439749120
score 13.214268

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