Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1687739,
author = {Kico, Iris and Zelníček, David and Liarokapis, Fotios},
address = {Melbourne},
booktitle = {2020 24th International Conference on Information Visualisation (IV)},
doi = {http://dx.doi.org/10.1109/IV51561.2020.00100},
editor = {Juan Guerrero},
keywords = {virtual reality; folk dances; cultural heritage; motion capture; learning},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Melbourne},
isbn = {978-1-7281-9134-8},
pages = {587-592},
publisher = {IEEE},
title = {Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality},
year = {2020}
}
TY - JOUR
ID - 1687739
AU - Kico, Iris - Zelníček, David - Liarokapis, Fotios
PY - 2020
TI - Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality
PB - IEEE
CY - Melbourne
SN - 9781728191348
KW - virtual reality
KW - folk dances
KW - cultural heritage
KW - motion capture
KW - learning
N2 - Digital technologies can help with preservation of cultural heritage and virtual reality can be used for that purpose. In this paper, a virtual reality application that has the potential of assisting the learning process of folk dances is introduced. This application includes three different assisting approaches that are presented and evaluated with 30 healthy participants. An animated avatar of the professional dancer is shown in immersive virtual reality and participants were asked to imitate the movements in order to learn the dance. Movements were recorded using a passive optical motion capture system and afterwards compared to the recordings from the professional dancers. Questionnaire data were also collected and initial results indicate that participants that had feedback provided achieved better performance.
ER -
KICO, Iris, David ZELNÍČEK a Fotios LIAROKAPIS. Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality. Online. In Juan Guerrero. \textit{2020 24th International Conference on Information Visualisation (IV)}. Melbourne: IEEE, 2020, s.~587-592. ISBN~978-1-7281-9134-8. Dostupné z: https://dx.doi.org/10.1109/IV51561.2020.00100.
|
