Spontaneous Emotional Facial Expression Detection
|
| Title | Spontaneous Emotional Facial Expression Detection |
| Authors | |
| Abstract | Change in a speaker’s emotion is a fundamental component in human communication. Automatic recognition of spontaneous emotion would significantly impact human-computer interaction and emotion-related studies in education, psychology and psychiatry. In this paper, we explore methods for detecting emotional facial expressions occurring in a realistic human conversation setting—the Adult Attachment Interview (AAI). Because non-emotional facial expressions have no distinct description and are expensive to model, we treat emotional facial expression detection as a one- class classification problem, which is to describe target objects (i.e., emotional facial expressions) and distinguish them from outliers (i.e., non-emotional ones). Our preliminary experiments on AAI data suggest that one-class classification methods can reach a good balance between cost (labeling and computing) and recognition performance by avoiding non-emotional expression labeling and modeling. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2006-08-01 |
| Source | Journal of Multimedia Vol 1, No 5 (2006) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |