Ekfrasis: A Formal Language for Representing and Generating Sequences of Facial Patterns for Studying Emotional Behavior

Authors:
Nikolaos Bourbakis;Anna Esposito;Despina Kavraki
Affiliations:
Wright State University, USA;Department of Psychology, and IIASS, Second University of Naples, Italy;AIIS Inc., USA
Venue:
Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction
Year:
2008

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Abstract

Emotion is a topic that has received much attention during the last few years, both in the context of speech synthesis, image understanding as well as in automatic speech recognition, interactive dialogues systems and wearable computing. This paper presents a formal model of a language (called Ekfrasis) as a software methodology that synthesizes (or generates) automatically various facial expressions by appropriately combining facial features. The main objective here is to use this methodology to generate various combinations of facial expressions and study if these combinations efficiently represent emotional behavioral patterns.