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Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory
Joint Authors
Wang, Guoyin
Kong, Hao
Yang, Yong
Source
Mathematical Problems in Engineering
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-07-15
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Emotion recognition is very important for human-computer intelligent interaction.
It is generally performed on facial or audio information by artificial neural network, fuzzy set, support vector machine, hidden Markov model, and so forth.
Although some progress has already been made in emotion recognition, several unsolved issues still exist.
For example, it is still an open problem which features are the most important for emotion recognition.
It is a subject that was seldom studied in computer science.
However, related research works have been conducted in cognitive psychology.
In this paper, feature selection for facial emotion recognition is studied based on rough set theory.
A self-learning attribute reduction algorithm is proposed based on rough set and domain oriented data-driven data mining theory.
Experimental results show that important and useful features for emotion recognition can be identified by the proposed method with a high recognition rate.
It is found that the features concerning mouth are the most important ones in geometrical features for facial emotion recognition.
American Psychological Association (APA)
Yang, Yong& Wang, Guoyin& Kong, Hao. 2009. Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory. Mathematical Problems in Engineering،Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-499257
Modern Language Association (MLA)
Yang, Yong…[et al.]. Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory. Mathematical Problems in Engineering No. 2009 (2009), pp.1-16.
https://search.emarefa.net/detail/BIM-499257
American Medical Association (AMA)
Yang, Yong& Wang, Guoyin& Kong, Hao. Self-Learning Facial Emotional Feature Selection Based on Rough Set Theory. Mathematical Problems in Engineering. 2009. Vol. 2009, no. 2009, pp.1-16.
https://search.emarefa.net/detail/BIM-499257
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-499257