eprintid: 1764
rev_number: 6
eprint_status: archive
userid: 46
dir: disk0/00/00/17/64
datestamp: 2013-09-17 13:01:15
lastmod: 2014-01-29 10:53:38
status_changed: 2013-09-17 13:01:15
type: book_section
succeeds: 1691
metadata_visibility: show
creators_name: Glowinski, Donald
creators_name: Gnecco, Giorgio
creators_name: Camurri, Antonio
creators_name: Piana, Stefano
creators_id: 
creators_id: giorgio.gnecco@imtlucca.it
creators_id: 
creators_id: 
title: Expressive Non-Verbal Interaction in String Quartet
ispublished: pub
subjects: M1
subjects: QA75
divisions: CSA
full_text_status: none
pres_type: paper
keywords: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII) held in Geneva, Switzerland, 2-5 September 2013 
abstract: The present study investigates expressive non-verbal interaction in musical context starting from behavioral features extracted at individual and group level. We define four features related to head movement and direction that may help gaining insight on the expressivity and cohesion of the performance. Our preliminary findings obtained from the analysis of a string quartet recorded in ecological settings show that these features may help in distinguishing between two types of performance: (a) a concert-like condition where all musicians aim at performing at best, (b) a perturbed one where the 1st violinist devises alternative interpretations of the music score without discussing them with the other musicians.
date: 2013
date_type: published
publisher: IEEE
pagerange: 233-238
event_title: 5th IEEE International Conference on Affective Computing and Intelligent (IEEE ACII 2013)
id_number: 10.1109/ACII.2013.45
refereed: TRUE
book_title: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII)
official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6681436&isnumber=6681389
citation:   Glowinski, Donald and Gnecco, Giorgio and Camurri, Antonio and Piana, Stefano  Expressive Non-Verbal Interaction in String Quartet.   In:  2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII).   IEEE, pp. 233-238.       (2013)