Abstract
| Language | English |
|---|---|
| Title of host publication | MOCO '16 Proceedings of the 3rd International Symposium on Movement and Computing |
| Place of Publication | New York |
| Publisher | ACM |
| ISBN (Print) | 978-1-4503-4307-7 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | International Symposium on Movement and Computing - Thessaloniki, Greece Duration: 5 Jul 2016 → 7 Jul 2016 |
Conference
| Conference | International Symposium on Movement and Computing |
|---|---|
| Country | Greece |
| City | Thessaloniki |
| Period | 5/07/16 → 7/07/16 |
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Bibliographical note
© ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MOCO '16 Proceedings of the 3rd International Symposium on Movement and Computing, http://dx.doi.org/10.1145/2948910.2948912Keywords
- Dance Learning
- Motion Capture
- Human Movement
- Whole-Body interaction
- Dance practices and genres
Cite this
WhoLoDancE: Towards a methodology for selecting Motion Capture Data across different Dance Learning Practice. / Camurri, A.; El Raheb, K.; Even-Zohar, O.; Ioannidis, Y.; Markatzi, A.; Matos, J.-M.; Morley-Fletcher, E.; Palacio, P.; Romero, M.; Sarti, A.; Di Pietro, S.; Viro, V.; Whatley, Sarah.
MOCO '16 Proceedings of the 3rd International Symposium on Movement and Computing. New York : ACM, 2016. 43.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding
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TY - GEN
T1 - WhoLoDancE: Towards a methodology for selecting Motion Capture Data across different Dance Learning Practice
AU - Camurri, A.
AU - El Raheb, K.
AU - Even-Zohar, O.
AU - Ioannidis, Y.
AU - Markatzi, A.
AU - Matos, J.-M.
AU - Morley-Fletcher, E.
AU - Palacio, P.
AU - Romero, M.
AU - Sarti, A.
AU - Di Pietro, S.
AU - Viro, V.
AU - Whatley, Sarah
N1 - © ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MOCO '16 Proceedings of the 3rd International Symposium on Movement and Computing, http://dx.doi.org/10.1145/2948910.2948912
PY - 2016
Y1 - 2016
N2 - In this paper we present the objectives and preliminary work of WhoLoDancE a Research and Innovation Action funded under the European Union's Horizon 2020 programme, aiming at using new technologies for capturing and analyzing dance movement to facilitate whole-body interaction learning experiences for a variety of dance genres. Dance is a diverse and heterogeneous practice and WhoLoDancE will develop a protocol for the creation and/or selection of dance sequences drawn from different dance styles for different teaching and learning modalities. As dance learning practice lacks standardization beyond dance genres and specific schools and techniques, one of the first project challenges is to bring together a variety of dance genres and teaching practices and work towards a methodology for selecting the appropriate shots for motion capturing, to acquire kinetic material which will provide a satisfying proof of concept for Learning scenarios of particular genres. The four use cases we are investigating are 1) classical ballet, 2) contemporary dance, 3) flamenco and 4) Greek folk dance.
AB - In this paper we present the objectives and preliminary work of WhoLoDancE a Research and Innovation Action funded under the European Union's Horizon 2020 programme, aiming at using new technologies for capturing and analyzing dance movement to facilitate whole-body interaction learning experiences for a variety of dance genres. Dance is a diverse and heterogeneous practice and WhoLoDancE will develop a protocol for the creation and/or selection of dance sequences drawn from different dance styles for different teaching and learning modalities. As dance learning practice lacks standardization beyond dance genres and specific schools and techniques, one of the first project challenges is to bring together a variety of dance genres and teaching practices and work towards a methodology for selecting the appropriate shots for motion capturing, to acquire kinetic material which will provide a satisfying proof of concept for Learning scenarios of particular genres. The four use cases we are investigating are 1) classical ballet, 2) contemporary dance, 3) flamenco and 4) Greek folk dance.
KW - Dance Learning
KW - Motion Capture
KW - Human Movement
KW - Whole-Body interaction
KW - Dance practices and genres
U2 - 10.1145/2948910.2948912
DO - 10.1145/2948910.2948912
M3 - Conference proceeding
SN - 978-1-4503-4307-7
BT - MOCO '16 Proceedings of the 3rd International Symposium on Movement and Computing
PB - ACM
CY - New York
ER -