A new approach for recognition of human emotions

Organized by Institut Teknologi Bandung, Indonesia, 29th - 30th November 2006 at Bandung, Indonesia.

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Bibliographic Details
Main Authors: Karthigayan, M., Mohd Rizon, Muhamed Juhari, Sazali, Yaacob, Nagarajan, R.
Format: Working Paper
Language:English
Published: Institut Teknologi Bandung 2009
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/6353
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spelling my.unimap-63532009-07-08T01:26:13Z A new approach for recognition of human emotions Karthigayan, M. Mohd Rizon, Muhamed Juhari Sazali, Yaacob Nagarajan, R. Feature extraction Ellipse fitness function Genetic algorithm Emotion recognition Emotions Detectors Organized by Institut Teknologi Bandung, Indonesia, 29th - 30th November 2006 at Bandung, Indonesia. In the modern world, all elder people and young child are left alone at home. As long, they are staying alone at home will lead some depression and diversion for them. To overcome this problem, robots are implemented with face emotion recognition to understand them and react according to their emotion. Here, a face emotion recognition package is being improved for single person. In this analysis's, the eye feature plays a vital role in classifying the face emotion using Genetic Algorithm. The acquired images have gone through few preprocessing methods which are suitable for face emotion such as grayscale, histogram equalization and filtering. The second part discusses a Genetic Algorithm methodology of estimating the emotions from eye feature alone. Genetic Algorithm is adopted to optimize the ellipse characteristics of the eye features. A new form of fitness function is proposed for the Genetic Algorithm. It is ensured through several experiments that the optimized parameters of ellipse reveal various emotional characteristics. The range for minor that is 'b 'for different emotion has been tabulated. The tabulation clearly shows the changes of minor axis for each emotion. It has been successfully classified. Processing time for Genetic Algorithm varies for each emotion. 2009-07-08T01:26:13Z 2009-07-08T01:26:13Z 2006-11-29 Working Paper http://hdl.handle.net/123456789/6353 en International Conference on Mathematics and Natural Science (ICMNS 2006) Institut Teknologi Bandung
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 Feature extraction
Ellipse fitness function
Genetic algorithm
Emotion recognition
Emotions
Detectors
spellingShingle Feature extraction
Ellipse fitness function
Genetic algorithm
Emotion recognition
Emotions
Detectors
Karthigayan, M.
Mohd Rizon, Muhamed Juhari
Sazali, Yaacob
Nagarajan, R.
A new approach for recognition of human emotions
description Organized by Institut Teknologi Bandung, Indonesia, 29th - 30th November 2006 at Bandung, Indonesia.
format Working Paper
author Karthigayan, M.
Mohd Rizon, Muhamed Juhari
Sazali, Yaacob
Nagarajan, R.
author_facet Karthigayan, M.
Mohd Rizon, Muhamed Juhari
Sazali, Yaacob
Nagarajan, R.
author_sort Karthigayan, M.
title A new approach for recognition of human emotions
title_short A new approach for recognition of human emotions
title_full A new approach for recognition of human emotions
title_fullStr A new approach for recognition of human emotions
title_full_unstemmed A new approach for recognition of human emotions
title_sort new approach for recognition of human emotions
publisher Institut Teknologi Bandung
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/6353
_version_ 1643788431452536832
score 13.214268