Paolo Alborno
Automated video analysis of interpersonal entrainment in Indian music performance
Alborno, Paolo; Clayton, Martin; Keller, Peter; Volpe, Gualtiero; Camurri, Antonio
Authors
Professor Martin Clayton martin.clayton@durham.ac.uk
Professor
Peter Keller
Gualtiero Volpe
Antonio Camurri
Abstract
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.
Citation
Alborno, P., Clayton, M., Keller, P., Volpe, G., & Camurri, A. (2015). Automated video analysis of interpersonal entrainment in Indian music performance. . https://doi.org/10.4108/icst.intetain.2015.259521
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 |
DOI | https://doi.org/10.4108/icst.intetain.2015.259521 |
Keywords | Interpersonal entrainment, Synchronisation, Ethnomusicology. |
Additional Information | Conference dates 10th–12th Jun 2015 |
Files
Accepted Conference Proceeding
(0)
PDF
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 (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
Published Conference Proceeding
(0)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/3.0/
You might also like
Gagaku
(2023)
Digital Artefact
Rhythm and Structural Segmentation in Dhrupad Bandish Performance
(2023)
Book Chapter
Hindustani Rhythm and Computational Analysis: A Musicological Perspective
(2023)
Book Chapter
Human Movement Datasets: An Interdisciplinary Scoping Review
(2022)
Journal Article
Raga Classification from Vocal Performances Using Multimodal Analysis
(2022)
Conference Proceeding