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Automated video analysis of interpersonal entrainment in Indian music performance

Alborno, Paolo; Clayton, Martin; Keller, Peter; Volpe, Gualtiero; Camurri, Antonio


Paolo Alborno

Peter Keller

Gualtiero Volpe

Antonio Camurri


Interpersonal entrainment is an important and underexplored feature of musical performance. Better understanding of this phenomenon has important implications for musicology and for the understanding of joint action and coordination from a psychological perspective, and is likely also to be applicable in entertainment, educational, and therapeutic contexts. In order to achieve this, new methods of investigation are needed through which entrainment can be investigated in ecological contexts, keeping time-consuming manual intervention to a minimum. Preliminary research results are presented here on a system for the automated analysis of entrainment, and leadership from video recordings of performances of Indian music. The system is based on the EyesWeb XMI open software platform. The context and aims of the research are discussed along with an analysis of entrainment on the basis of head movements tracked on a video recording.


Alborno, P., Clayton, M., Keller, P., Volpe, G., & Camurri, A. (2015). Automated video analysis of interpersonal entrainment in Indian music performance. .

Conference Name Proceedings of the 7th International Conference on Intelligent Technologies for Interactive Entertainment
Conference Location Torino, Italy
Start Date Jun 10, 2015
End Date Jun 12, 2015
Acceptance Date Apr 17, 2015
Online Publication Date Aug 3, 2015
Publication Date Aug 3, 2015
Deposit Date Dec 9, 2015
Publicly Available Date Jan 26, 2016
Volume 15
Series Number 4
Series ISSN 2409-0034
Keywords Interpersonal entrainment, Synchronisation, Ethnomusicology.
Additional Information Conference dates 10th–12th Jun 2015


Accepted Conference Proceeding (0)

Copyright Statement
Copyright © 2015 P. Alborno et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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