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.
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.
Original language | English |
---|---|
Title of host publication | Moco '18 |
Subtitle of host publication | Proceedings of the 5th International Conference on Movement and Computing |
Publisher | ACM |
Number of pages | 8 |
ISBN (Print) | 978-1-4503-6504-8 |
DOIs | |
Publication status | Published - 28 Jun 2018 |
Event | 5th International Conference on Movement and Computing - Casa Paganini, Genoa, Italy Duration: 28 Jun 2018 → 30 Jun 2018 http://moco18.movementcomputing.org/ |
Publication series
Name | MOCO Movement and Computing |
---|
Conference
Conference | 5th International Conference on Movement and Computing |
---|---|
Abbreviated title | MOCO 2018 |
Country/Territory | Italy |
City | Genoa |
Period | 28/06/18 → 30/06/18 |
Internet address |