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Facial Affect Recognition For Cognitive-Behavioural Therapy

Moussa, M. Ben and Magnenat-Thalmann, N. and Konstantas, D. and Santamaría, J. J. and Fernández-Aranda, F. and Jiménez-Murcia, S.


Abstract: In this paper we present facial affect recognition specifically designed and developed for clinical use in Cognitive-Behavioural Therapy. We describe our hybrid approach for facial affect recognition that combines geometric and appearance based features of the face. For geometric features we have developed a robust Active Shape Model based facial point tracking system for real-time use in clinical environments. Gabor wavelets are employed to extract the appearance-based features from appearance changes of the face skin. Further, we present an evaluation of our approach and we describe the systems integration with serious games that are being used for mental disorder therapy.


@inproceedings{572,
  booktitle = {Proceedings of the Sixth International Symposium on e-Health Services and Technologies},
  author = {Moussa, M. Ben and Magnenat-Thalmann, N. and Konstantas, D. and Santamaría, J. J. and Fernández-Aranda, F. and Jiménez-Murcia, S.},
  title = {Facial Affect Recognition For Cognitive-Behavioural Therapy},
  publisher = {SciTePress},
  month = jul,
  year = {2012}
}