dc.contributor.author | Luo, Siyuan | en_US |
dc.contributor.author | Yu, Borou | en_US |
dc.contributor.author | Wang, Zeyu | en_US |
dc.contributor.editor | Chaine, Raphaëlle | en_US |
dc.contributor.editor | Deng, Zhigang | en_US |
dc.contributor.editor | Kim, Min H. | en_US |
dc.date.accessioned | 2023-10-09T07:42:38Z | |
dc.date.available | 2023-10-09T07:42:38Z | |
dc.date.issued | 2023 | |
dc.identifier.isbn | 978-3-03868-234-9 | |
dc.identifier.uri | https://doi.org/10.2312/pg.20231269 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pg20231269 | |
dc.description.abstract | We propose DASKEL, a real-time interactive choreography system with bidirectional human skeleton-Labanotation conversion. DASKEL fuses dance notation (DA) with human skeleton data (SKEL). Our approach connects dance data represented in Labanotation with motion capture skeleton data in BVH format, facilitating seamless bidirectional conversion between the two formats. Moreover, DASKEL introduces a numerical representation for symbols used in Labanotation and supports their intuitive visualization which augments the practicality and applicability. Previous methods for the conversion between Labanotation and human skeleton only support the upper body, and our approach generalizes to the bidirectional conversion for the whole body. To generate more accurate and human-like dance postures, we integrate kinematic methods with physics-based simulation, resulting in more natural character animations generated from dance notations. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Computing methodologies -> Animation System | |
dc.subject | Computing methodologies | |
dc.subject | Animation System | |
dc.title | DASKEL: An Interactive Choreographical System with Labanotation-Skeleton Translation | en_US |
dc.description.seriesinformation | Pacific Graphics Short Papers and Posters | |
dc.description.sectionheaders | Motion Capture and Generation | |
dc.identifier.doi | 10.2312/pg.20231269 | |
dc.identifier.pages | 39-46 | |
dc.identifier.pages | 8 pages | |