Name
Abstract | ||
|---|---|---|
Eyes play an important role in expressing emotions in nonverbal communication. In the present study, emotional expression classification was performed based on the features that were automatically extracted from the eye area. First, the face area and the eye area were automatically extracted from the captured image. Afterwards, the parameters to be used for the analysis through discrete wavelet transformation were obtained from the eye area. Using these parameters, emotional expression analysis was performed through artificial intelligence techniques. As the result of the experimental studies, 6 universal emotions consisting of expressions of happiness, sadness, surprise, disgust, anger and fear were classified at a success rate of 84% using artificial neural networks. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1117/12.2180875 | Proceedings of SPIE |
Keywords | Field | DocType |
artificial intelligence,emotional expression classification,image processing,discrete wavelet transformation | Sadness,Computer vision,Pattern recognition,Expression (mathematics),Disgust,Psychology,Nonverbal communication,Emotional expression,Artificial intelligence,Happiness,Anger,Artificial neural network | Conference |
Volume | ISSN | Citations |
9445 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| b akkoc | 1 | 0 | 0.34 |
| Ahmet Arslan | 2 | 130 | 6.27 |