Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44010
Title: Expression detector system based on facial images
Authors: Hernández-Travieso, José G.
Travieso, Carlos M. 
Del Pozo-Baños, Marcos
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Soft-biometrics, Facial segmentation, Pattern recognition, Expression detection
Issue Date: 2013
Journal: BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing
Conference: International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2013 
Abstract: This paper proposes a emotion detector, applied for facial images, based on the analysis of facial segmentation. The parameterizations have been developed on spatial and transform domains, and the classification has been done by Support Vector Machines. A public database has been used in experiments, The Radboud Faces Database (RAFD), with eight possible emotions: anger, disgust, fear, happiness, sadness, surprise, neutral and contempt. Our best approach has been reached with decision fusion, using transform domains, reaching an accurate up to 96.62%.
URI: http://hdl.handle.net/10553/44010
ISBN: 9789898565365
Source: BIOSIGNALS 2013 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, p. 411-418
Appears in Collections:Actas de congresos
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