A Conceptual Framework for Creating and Analyzing Dance Learning Digital Content

Katerina El Raheb, Sarah Whatley, Antonio Camurri

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

As they are mainly based on bodily experiences and embodied knowledge, dance and movement practices present a great diversity and complexity across genre and context. Thus, developing a conceptual framework for archiving, managing,
curating and analysing movement data, in order to develop reusable datasets and algorithms for a variety of purposes, remains a challenge. In this work, based on relevant literature on movement representation and existing systems such as Laban Movement Analysis, as well as working with dance experts
through workshops, focus groups, and interviews, we propose a conceptual framework for creating, and analysing dance learning content. The conceptual framework, has been developed within an interdisciplinary project, that brings together technology and human computer interaction researchers, computer science engineers, motion capture experts from industry and academia, as
well as dance experts with background on four different dance genres: contemporary, ballet, Greek folk, and flamenco. The framework has been applied: a) as a guidance to systematically create a movement library with multimodal recordings for dance education, including four different dance genres, b) as the basis for developing controlled vocabularies of dance for manual and automated annotation, and c) as the conceptual framework to
define the requirements for similarity search and feature extraction.
LanguageEnglish
Title of host publicationMoco
PublisherACM
Number of pages8
ISBN (Print) 978-1-4503-6504-8
DOIs
StatePublished - 28 Jun 2018
Event5th International Conference on Movement and Computing
- Casa Paganini, Genoa, Italy
Duration: 28 Jun 201830 Jun 2018
http://moco18.movementcomputing.org/

Publication series

NameMOCO Movement and Computing

Conference

Conference5th International Conference on Movement and Computing
Abbreviated titleMOCO 2018
CountryItaly
CityGenoa
Period28/06/1830/06/18
Internet address

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learning
genre
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engineer
vocabulary
industry
interaction
interview
education
experience

Cite this

El Raheb, K., Whatley, S., & Camurri, A. (2018). A Conceptual Framework for Creating and Analyzing Dance Learning Digital Content. In Moco (MOCO Movement and Computing). ACM. DOI: 10.1145/3212721.3212837

A Conceptual Framework for Creating and Analyzing Dance Learning Digital Content. / El Raheb, Katerina; Whatley, Sarah; Camurri, Antonio.

Moco. ACM, 2018. (MOCO Movement and Computing).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

El Raheb, K, Whatley, S & Camurri, A 2018, A Conceptual Framework for Creating and Analyzing Dance Learning Digital Content. in Moco. MOCO Movement and Computing, ACM, 5th International Conference on Movement and Computing
, Genoa, Italy, 28/06/18. DOI: 10.1145/3212721.3212837
El Raheb K, Whatley S, Camurri A. A Conceptual Framework for Creating and Analyzing Dance Learning Digital Content. In Moco. ACM. 2018. (MOCO Movement and Computing). Available from, DOI: 10.1145/3212721.3212837
El Raheb, Katerina ; Whatley, Sarah ; Camurri, Antonio. / A Conceptual Framework for Creating and Analyzing Dance Learning Digital Content. Moco. ACM, 2018. (MOCO Movement and Computing).
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