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A Multimodal Database as a Background for Emotional Synthesis, Recognition and Training in E-Learning Systems

Published inAffective Computing and Intelligent Interaction. ACII 2005, Editors Tao, J.; Tan, T.& Picard, R.W.
PublisherBerlin : Springer
Collection
  • Lecture Notes in Computer Science; 3784
Publication date2005
Abstract

This paper presents a multimodal database developed within the EU-funded project MYSELF. The project aims at developing an e-learning platform endowed with affective computing capabilities for the training of relational skills through interactive simulations. The database includes data coming from 34 participants and concerning physiological parameters, vocal nonverbal features, facial expression and posture. Ten different emotions were considered (anger, joy, sadness, fear, contempt, shame, guilt, pride, frustration and boredom), ranging from primary to self-conscious emotions of particular relevance in learning process and interpersonal relationships. Preliminary results and analyses are presented, together with directions for future work.

Affiliation Not a UNIGE publication
Citation (ISO format)
ANOLLI, Luigi et al. A Multimodal Database as a Background for Emotional Synthesis, Recognition and Training in E-Learning Systems. In: Affective Computing and Intelligent Interaction. ACII 2005. Berlin : Springer, 2005. (Lecture Notes in Computer Science) doi: 10.1007/11573548_73
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Book chapter (Published version)
accessLevelPublic
Identifiers
ISBN978-3-540-32273-3
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