Logo eprints

Towards Automated Analysis of Joint Music Performance in the Orchestra

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)

WarningThere is a more recent version of this item available.
Full text not available from this repository.

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.

Item Type: Book Section
Identification Number: 10.1007/978-3-642-37982-6_16
Additional Information: Third International Conference, ArtsIT 2013, Milan, Italy, March 21-23, 2013, Revised Selected Papers
Uncontrolled Keywords: automated analysis of non-verbal behavior; expressive gesture analysis; computational models of joint music action
Subjects: M Music and Books on Music > M Music
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Giorgio Gnecco
Date Deposited: 12 Sep 2013 12:14
Last Modified: 16 Sep 2013 12:02
URI: http://eprints.imtlucca.it/id/eprint/1698

Available Versions of this Item

Actions (login required)

Edit Item Edit Item
EPrints Logo
IMT Institutional Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.