Machine Learning for Multimodal Interaction

Rainer Stiefelhagen

ISBN 10: 3540858520 / ISBN 13: 9783540858522

Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2008, 2008

Beschreibung

Neuware -This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch.

Bestandsnummer des Verkäufers 9783540858522

Bibliografische Details

• Titel: Machine Learning for Multimodal Interaction
• Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2008
• Erscheinungsjahr: 2008
• Sprache: Englisch
• ISBN-10: 3540858520
• ISBN-13: 9783540858522
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.