Individuality in Communicative Bodily Behaviours

Costanza Navarretta

doi:10.1007/978-3-642-34584-5_37

Individuality in Communicative Bodily Behaviours

Costanza Navarretta

LUKKET: Center for Sprogteknologi

8 Citationer (Scopus)

Abstract

This paper investigates to which extent participants in spontaneously occurring interactions can be recognised automatically from the shape description of their bodily behaviours. For this purpose, we apply classification algorithms to an annotated corpus of Danish dyadic and triadic conversations. The bodily behaviours which we consider are head movement, facial expressions and hand gestures. Although the data used are of limited size, the results of classification are promising especially for hand gestures indicating big variance in people's bodily behaviours even if the involved participants are a homogeneous group in terms of gender, age and social background. The obtained results are not only interesting from a theoretic point of view, but they can also be relevant for video indexing and searching, computer games and other applications which involve multimodal interaction.

Originalsprog	Engelsk
Titel	Cognitive Behavioural Systems
Redaktører	Anna Esposito, Antonietta M. Esposito, Alessandro Vinciarelli, Rüdiger Hoffmann, Vincent C. Müller
Antal sider	7
Vol/bind	7403
Forlag	Springer
Publikationsdato	2012
Sider	417-423
ISBN (Trykt)	978-3-642-34583-8
ISBN (Elektronisk)	978-3-642-34584-5
DOI	https://doi.org/10.1007/978-3-642-34584-5_37
Status	Udgivet - 2012

Navn	Lecture Notes in Computer Science (LNCS)
ISSN	0302-9743

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10.1007/978-3-642-34584-5_37

Citationsformater

Individuality in Communicative Bodily Behaviours. / Navarretta, Costanza.

Cognitive Behavioural Systems . red. / Anna Esposito; Antonietta M. Esposito; Alessandro Vinciarelli; Rüdiger Hoffmann; Vincent C. Müller. Bind 7403 Springer, 2012. s. 417-423 (Lecture Notes in Computer Science (LNCS)).

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › peer review

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AB - This paper investigates to which extent participants in spontaneously occurring interactions can be recognised automatically from the shape description of their bodily behaviours. For this purpose, we apply classification algorithms to an annotated corpus of Danish dyadic and triadic conversations. The bodily behaviours which we consider are head movement, facial expressions and hand gestures. Although the data used are of limited size, the results of classification are promising especially for hand gestures indicating big variance in people's bodily behaviours even if the involved participants are a homogeneous group in terms of gender, age and social background. The obtained results are not only interesting from a theoretic point of view, but they can also be relevant for video indexing and searching, computer games and other applications which involve multimodal interaction.

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Individuality in Communicative Bodily Behaviours

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