eprintid: 1698
rev_number: 8
eprint_status: archive
userid: 46
dir: disk0/00/00/16/98
datestamp: 2013-09-12 12:14:41
lastmod: 2013-09-16 12:02:59
status_changed: 2013-09-12 12:14:41
type: book_section
metadata_visibility: no_search
creators_name: Gnecco, Giorgio
creators_name: Badino, Leonardo
creators_name: Camurri, Antonio
creators_name: D’Ausilio, Alessandro
creators_name: Fadiga, Luciano
creators_name: Glowinski, Donald
creators_name: Sanguineti, Marcello
creators_name: Varni, Giovanna
creators_name: Volpe, Gualtiero
creators_id: giorgio.gnecco@imtlucca.it
creators_id: 
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title: Towards Automated Analysis of Joint Music Performance in the Orchestra
ispublished: pub
subjects: M1
subjects: QA75
divisions: CSA
full_text_status: none
keywords: automated analysis of non-verbal behavior; expressive gesture analysis; computational models of joint music action
note: Third International Conference, ArtsIT 2013, Milan, Italy, March 21-23, 2013, Revised Selected Papers
abstract: Preliminary results from a study of expressivity and of non-verbal social signals in small groups of users are presented. Music is selected as experimental test-bed since it is a clear example of interactive and social activity, where affective non-verbal communication plays a fundamental role. In this experiment the orchestra is adopted as a social group characterized by a clear leader (the conductor) of two groups of musicians (the first and second violin sections). It is shown how a reduced set of simple movement features - heads movements - can be sufficient to explain the difference in the behavior of the first violin section between two performance conditions, characterized by different eye contact between the two violin sections and between the first section and the conductor.
date: 2013
series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
number: 116
publisher: Springer 
pagerange: 120-127
id_number: 10.1007/978-3-642-37982-6_16
refereed: TRUE
book_title: Arts and Technology
official_url: http://dx.doi.org/10.1007/978-3-642-37982-6_16
citation:   Gnecco, Giorgio and Badino, Leonardo and Camurri, Antonio and D’Ausilio, Alessandro and Fadiga, Luciano and Glowinski, Donald and Sanguineti, Marcello and Varni, Giovanna and Volpe, Gualtiero  Towards Automated Analysis of Joint Music Performance in the Orchestra.   In:  Arts and Technology.   Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  (116).  Springer , pp. 120-127.       (2013)