2026-05-04T21:40:48Z https://raco.cat/index.php/index/oai

oai:raco.cat:article/132008 2014-03-21T16:22:54Z ELCVIA:REGULAR

Facial Emotional Classifier For Natural Interaction Hupont, Isabelle Cerezo, Eva Baldassarri, Sandra The recognition of emotional information is a key step toward giving computers the ability to interact more naturally and intelligently with people. We present a simple and computationally feasible method to perform automatic emotional classification of facial expressions. We propose the use of a set of characteristic facial points (that are part of the MPEG4 feature points) to extract relevant emotional information (basically five distances, presence of wrinkles in the eyebrow and mouth shape). The method defines and detects the six basic emotions (plus the neutral one) in terms of this information and has been fine-tuned with a database of more than 1500 images. The system has been integrated in a 3D engine for managing virtual characters, allowing the exploration of new forms of natural interaction. Universitat Autònoma de Barcelona Centre de Visió per Computador 2008 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://raco.cat/index.php/ELCVIA/article/view/132008 1577-5097 RACO (Revistes Catalanes amb Accés Obert) eng ELCVIA: electronic letters on computer vision and image analysis; 2008: Vol.: 7 Núm.: 4 Special Issue on Human Motion Analysis and Recognition; 1-12;ELCVIA: electronic letters on computer vision and image analysis; 2008: Vol.: 7 Núm.: 4 Special Issue on Human Motion Analysis and Recognition; 1-12; https://raco.cat/index.php/ELCVIA/article/view/132008/181853 info:eu-repo/semantics/openAccess