DocumentCode
652781
Title
Towards Robust Real-Time Valence Recognition from Facial Expressions for Market Research Applications
Author
Garbas, Jens-Uwe ; Ruf, Tobias ; Unfried, Matthias ; Dieckmann, Anja
Author_Institution
Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany
fYear
2013
fDate
2-5 Sept. 2013
Firstpage
570
Lastpage
575
Abstract
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 web cam 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.
Keywords
face recognition; market research; facial expression recognition; market research applications; robust real time valence recognition; Databases; Face; Face recognition; Feature extraction; Market research; Robustness; Training; emotion recognition; empirical study; facial expressions; market research; valence; valence recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on
Conference_Location
Geneva
ISSN
2156-8103
Type
conf
DOI
10.1109/ACII.2013.100
Filename
6681491
Link To Document