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

Información del proyecto

NOVICOM

Identificador del acuerdo de subvención: 235718

Proyecto cerrado

Fecha de inicio 1 Junio 2009

Fecha de finalización 14 Octubre 2011

Financiado con arreglo a

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

Coste total € 183 266,35

Aportación de la UE € 183 266,35

Coordinado por

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP
Switzerland

Objetivo

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.

Ámbito científico

• 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

Palabras clave

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

Programa(s)

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

Tema(s)

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

Convocatoria de propuestas

FP7-PEOPLE-IEF-2008
Consulte otros proyectos de esta convocatoria

Régimen de financiación

MC-IEF - Intra-European Fellowships (IEF)

Coordinador

FONDATION DE L'INSTITUT DE RECHERCHE IDIAP

Contacto administrativo

François Foglia (Dr.)

• Aportación de la UE: € 183 266,35
• Dirección: RUE MARCONI 19 ; 1920 Martigny ; Suiza
• Región: Schweiz/Suisse/Svizzera › Région lémanique › Valais / Wallis
• Tipo de actividad: Research Organisations
• Coste total: Sin datos