The week's pick
Random Articles
Reseach Article
Emotion Recognition using Fuzzy Rule- based System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 11 |
| Year of Publication: 2014 |
| Authors: Akanksha Chaturvedi, Alpika Tripathi |
10.5120/16260-5920
|
Akanksha Chaturvedi, Alpika Tripathi . Emotion Recognition using Fuzzy Rule- based System. International Journal of Computer Applications. 93, 11 ( May 2014), 25-28. DOI=10.5120/16260-5920
Abstract
Facial Expression Recognition has increasing importance in assisting human- computer interaction issues. This paper "Emotion Recognition Using Fuzzy Rule- Based System" proposes a fuzzy method for the facial emotions recognition on still images of the face. The technique involves extracting mathematical data from some special regions of the face. The extracted mathematical data are then fed to a fuzzy rule- based system. Fuzzification operation issues triangular membership functions for both input and output. The method is implemented on MATLAB. An Algorithm is developed which gives 6 facial expressions as an output i. e. , happy, sad, disgust, anger, surprise and fear, where input is the still image of the face, on being applied to a fuzzy rule- based system. The method for the feature extraction of the still image is also developed which is very important for recognizing the facial expression.
References
- M. Zubair Shafiq and Assia Khanam, "A 'Personalized Facial Expression Recognition system using case- based reasoning", IEEE- ICET 2006, 2nd International Conference on Emerging Technologies, Peshawar Pakistan, 13- 14 November, 2006.
- P. Lucey, J. Cohn, T. Kanade, J. Saegih, Z. Ambadar and I. Matthews, "The Extended Cohn- Kanade Dataset (CK+): A complete dataset for action unit and emotion- specified expression", Computer vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference, 2010.
- Kyoung- Man Lim, Young- Chul Sim and Kyoung – Whan Oh, "A Face Recognition System Using Fuzzy Logic and Artificial neural network", Artificial Intelligence Research Lab, Deptt. Of Computer Science, SoGang University, Korea.
- J. Q. Liu, Q. Zhen Fan, "Research of Feature Extraction method on Facial Expression Change", Advanced materials Research Volumes 211- 212, 2011.
- S. Dongcheng, J. Jieqing, "The method of Facial Expression Recognition based on DWT- PCA/ LDA", International Conference on Image and Signal Processing (CISP), Volume: 4, pp. 1970-1974, 2010.
- Chaiyasit Tanchotsrinon, Suphakant phimoltares and Saranya Maneeroj, "Facial Expression Recognition using graph- based features and artificial neural networks", AVIC Research Centre, Chulalongkorn University, Bangkok.
- Maedeh Rasoulzadeh, "Facial Expression Recognition using Fuzzy Inference System", International Journal of Engineering and Innovative technology, Volume1 , Issue 4, April 2012.
- Leon D. Harmon and Willard F. Hunt, "Automatic Recognition of Human Face Profiles", Computer Graphics and Image Processing 6 (1977), 135- 156.
- Kyoung- Man Lim, Young- Chul Sim and Kyoung – Whan Oh, "A Face Recognition System Using Fuzzy Logic and Artificial neural network", Artificial Intelligence Research Lab, Deptt. Of Computer Science, SoGang University, Korea.
- L. A. Zadeh, "Fuzzy sets", Information and Control, Vol. 8, pp. 338- 353, 1965.
Index Terms
Keywords