Year: 2025
Type: preprint
Abstract: We propose AfforDance, an augmented reality (AR)-based dance learning system that generates personalized learning content and enhances learning through visual affordances. Our system converts user-selected dance videos into interactive learning experiences by integrating 3D reference avatars, audio synchronization, and adaptive visual cues that guide movement execution. This work contributes to personalized dance education by offering an adaptable, user-centered learning interface.
Source: arXiv (Cornell University)
Authors: Han, Hyunyoung, Jang, Jongwon, Shim, Kitaeg, Yoon, Sang Ho
Institution: Korea Advanced Institute of Science and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4414939345
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