Volume 4, Issue 1, February 2011, Pages 44 - 53
Expression Detection Based on a Novel Emotion Recognition Method
Authors
Xun Gong, Yong Yang, Jianhui Lin, Tianrui Li
Corresponding Authors
Xun Gong, Jianhui Lin
Received 27 February 2009, Accepted 21 September 2010, Available Online 1 February 2011.
- DOI
- 10.2991/ijcis.2011.4.1.4How to use a DOI?
- Keywords
- emotion recognition; ensemble learning; rough set; data mining
- Abstract
As facial expression is an essential way to convey human's feelings, in this paper, a dynamic selection ensemble learning method is proposed to analyze their emotion automatically. A feature selection algorithm is proposed at first based on rough set and the domain oriented data driven data mining theory, which can get multiple reducts and candidate classifiers. Then the nearest neighborhood of each unseen sample is found in a validation subset and the most accurate classifier is extracted from the candidate classifiers. Finally, the selected classifier is used to recognize unseen samples. Experimental results show that the proposed method is effective and suitable for emotion recognition.
- Copyright
- © 2010, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Xun Gong AU - Yong Yang AU - Jianhui Lin AU - Tianrui Li PY - 2011 DA - 2011/02/01 TI - Expression Detection Based on a Novel Emotion Recognition Method JO - International Journal of Computational Intelligence Systems SP - 44 EP - 53 VL - 4 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.1.4 DO - 10.2991/ijcis.2011.4.1.4 ID - Gong2011 ER -