Automatic Analysis of Group Conversations via Visual Cues in Non-Verbal Communication

Projektinformationen

NOVICOM

ID Finanzhilfevereinbarung: 235718

Projekt abgeschlossen

Startdatum 1 Juni 2009

Enddatum 14 Oktober 2011

Finanziert unter

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Gesamtkosten € 183 266,35

EU-Beitrag € 183 266,35

Koordiniert durch

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP
Switzerland

Ziel

Computational analysis of social interaction is an emerging field of research in several communities such as human computer interaction, machine learning, speech and language processing, and computer vision. Social psychologists have researched the dimensions of social interaction for decades, finding out that nonverbal cues strongly determine human behavior and communication. One of the ultimate aims in computational analysis is to develop computational systems that can automatically recognize, discover, or predict human behavior via sensing devices such as cameras and microphones. The scientific objective of this proposal is to develop new and principled computational methods to detect and analyze visual nonverbal cues for the
automatic analysis of social interaction in small group face-to-face conversations. Specifically, we will concentrate on hand gestures, head
gestures and body posture. As nonverbal communication in social interactions does not only include visual cues but also the aural ones, the automatic analysis of interactions requires the use of both cues in modeling and recognition. Hence, our specific objectives are (1) the
automatic detection and analysis of visual nonverbal communication cues, and (2) the multimodal integration of audio and visual nonverbal cues.
We will concentrate on a selected number of key research tasks in social interaction analysis including, among others, the automatic estimation of dominance in a group conversation, and the level of interest of the members of the group during their interaction.

Wissenschaftliches Gebiet

• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › sensors › optical sensors
• natural sciences › computer and information sciences › artificial intelligence › computer vision
• natural sciences › computer and information sciences › computational science
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Schlüsselbegriffe

• Computer vision
• Image processing
• Machine learninig
• Multimodal fusion
• Social Interaction Analysis

Programm/Programme

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Thema/Themen

• FP7-PEOPLE-IEF-2008 - Marie Curie Action: "Intra-European Fellowships for Career Development"

Aufforderung zur Vorschlagseinreichung

FP7-PEOPLE-IEF-2008
Andere Projekte für diesen Aufruf anzeigen

Finanzierungsplan

MC-IEF - Intra-European Fellowships (IEF)

Koordinator

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP

Kontakt Verwaltung

François Foglia (Dr.)

• EU-Beitrag: € 183 266,35
• Adresse: RUE MARCONI 19 ; 1920 Martigny ; Schweiz
• Region: Schweiz/Suisse/Svizzera › Région lémanique › Valais / Wallis
• Aktivitätstyp: Research Organisations
• Gesamtkosten: Keine Daten