A Local Approach for Negative Emotion Detection
- Resource Type
- Conference
- Authors
- Lablack, Adel; Danisman, Taner; Bilasco, loan Marius; Djeraba, Chaabane
- Source
- 2014 22nd International Conference on Pattern Recognition Pattern Recognition (ICPR), 2014 22nd International Conference on. :417-420 Aug, 2014
- Subject
- Computing and Processing
Face
Face recognition
Computer vision
Speech
Emotion recognition
Streaming media
- Language
- ISSN
- 1051-4651
Recognizing human facial expression and emotion by computer is an interesting and challenging problem. In this paper, we propose a method for recognizing negative emotions through an appropriate representation of facial features from relevant face regions displayed in video streams and still images. A measure that is sensitive to facial movements is used in predefined regions of interest to detect the negative emotions. The experimentation has been performed on a standard dataset and live video streams and has showed promising results.