Our alumnus, Mr. Shinohara, gave a presentation at the 27th Meeting on Image Recognition and Understanding (MIRU 2024), held in Kumamoto from August 6 to 9, 2024. This is a joint project between our laboratory and OMRON SINIC X Corporation.
- IS-3-143: Riku Shinohara (NAIST), Atsushi Hashimoto, Tadashi Kozuno, Shigeo Yoshida (OMRON SINIC X), Yutaro Hirao, Monica Perusquía-Hernández, Hideaki Uchiyama, and Kiyoshi Kiyokawa (NAIST), “User-adaptive avatar posture manipulation method”(Abstract) We explore user-agnostic and user-specific mapping techniques for manipulating avatars using hand gestures in virtual reality (VR). User-agnostic mapping allows users to control various avatars based on common user agreements, while user-specific mapping adapts to individual preferences using few-shot adaptation. Both approaches use supervised learning with paired datasets of motion data. Our evaluation, including quantitative assessments and user studies, shows that both techniques offer finer control, require less physical effort, and provide higher user satisfaction compared to existing methods. However, only a few users preferred user-specific mapping, indicating that the benefits of personalized mapping may vary. Finally, we demonstrate our methods’ ability to manipulate avatars with variable joint structures, surpassing current methods.