Submitted to FTNCT 2021. Cite as: "to be included"
Emotion | #Images |
---|---|
Angry | 45 |
Contempt | 18 |
Disgust | 59 |
Fear | 25 |
Happy | 69 |
Sadness | 28 |
Surprise | 83 |
P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar and I. Matthews. "The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression," 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, 2010, pp. 94-101. doi: 10.1109/CVPRW.2010.5543262.
Emotion | #Images |
---|---|
Angry | 30 |
Disgust | 29 |
Fear | 32 |
Happy | 30 |
Neutral | 31 |
Sadness | 30 |
Surprise | 30 |
Michael J. Lyons, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba. Coding Facial Expressions with Gabor Wavelets, 3rd IEEE International Conference on Automatic Face and Gesture Recognition, pp. 200-205 (1998). http://doi.org/10.1109/AFGR.1998.670949 Open access content available at: https://zenodo.org/record/3430156
The models for CK+ and JAFFE datasets are available in pca_svm_model.ipynb.
For JAFFE we used the first 130 principal components.
For CK+ we used the first 120 principal components.
The same model was used on both the datasets. The model and prediction for CK+ and JAFFE datasets can be found in fer_cnn_ck+.ipynb and fer_cnn_jaffe.ipynb respectively.
Method | Dataset | Accuracy(%) |
---|---|---|
PCA+SVM | JAFFE | 95.35 |
PCA+SVM | CK+ | 81.81 |
CNN | JAFFE | 87.50 |
CNN | CK+ | 83.84 |