Facial Affect Recognition for Cognitive-behavioural Therapy

Dimitri Konstantas, Fernando Fernández–Aranda, Juan J. Santamaría, Maher Ben Moussa, Nadia Magnenat-Thalmann, Susana Jiménez-Murcia

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.

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Paper Citation


in Harvard Style

Moussa M., Magnenat-Thalmann N., Konstantas D., Fernández–Aranda F., Santamaría J. and Jiménez-Murcia S. (2012). Facial Affect Recognition for Cognitive-behavioural Therapy . In Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - Volume 1: EHST, ISBN 978-989-8565-27-3, pages 64-68. DOI: 10.5220/0004474200640068


in Bibtex Style

@conference{ehst12,
author={Maher Ben Moussa and Nadia Magnenat-Thalmann and Dimitri Konstantas and Fernando Fernández–Aranda and Juan J. Santamaría and Susana Jiménez-Murcia},
title={Facial Affect Recognition for Cognitive-behavioural Therapy},
booktitle={Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - Volume 1: EHST,},
year={2012},
pages={64-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004474200640068},
isbn={978-989-8565-27-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Symposium on e-Health Services and Technologies and the Third International Conference on Green IT Solutions - Volume 1: EHST,
TI - Facial Affect Recognition for Cognitive-behavioural Therapy
SN - 978-989-8565-27-3
AU - Moussa M.
AU - Magnenat-Thalmann N.
AU - Konstantas D.
AU - Fernández–Aranda F.
AU - Santamaría J.
AU - Jiménez-Murcia S.
PY - 2012
SP - 64
EP - 68
DO - 10.5220/0004474200640068