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Towards robust real-time valence recognition from facial expressions for market research applications

: Garbas, Jens-Uwe; Ruf,Tobias; Unfried, Matthias; Dieckmann, Anja


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013. Proceedings : 2-5 September 2013, Geneva, Switzerland
Los Alamitos, Calif.: IEEE Computer Society Conference Publishing Services (CPS), 2013
ISBN: 978-0-7695-5048-0
ISBN: 978-1-4799-0632-1
Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII) <2013, Geneva>
Fraunhofer IIS ()

A novel system for facial expression recognition is presented. It is designed to assess valence (positive or negative feeling) in the context of market research applications. Other design parameters that were met are real-time capability and robust results even when using off-the-shelf equipment (standard webcam and lighting). The paper further presents an empirical study that attests the system satisfying predictive validity for market research applications as long as very small absolute valence values close to zero are not interpreted.