5 papers
EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion
Joshua Siy, Huakun Liu, Yutaro Hirao +3
Human motion diffusion models can synthesize action sequences from text, but controlling motion intensity remains challenging. Existing approaches rely on effort-related adverbs, w…
Mind Your Vision: Multimodal Estimation of Refractive Disorders Using Electrooculography and Eye Tracking
Xin Wei, Huakun Liu, Yutaro Hirao +4
Refractive errors are among the most common visual impairments globally, yet their diagnosis often relies on active user participation and clinical oversight. This study explores a…
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
Huakun Liu, Hiroki Ota, Xin Wei +4
Sparse wearable inertial measurement units (IMUs) have gained popularity for estimating 3D human motion. However, challenges such as pose ambiguity, data drift, and limited adaptab…
MagicCraft: Natural Language-Driven Generation of Dynamic and Interactive 3D Objects for Commercial Metaverse Platforms
Ryutaro Kurai, Takefumi Hiraki, Yuichi Hiroi +4
Metaverse platforms are rapidly evolving to provide immersive spaces for user interaction and content creation. However, the generation of dynamic and interactive 3D objects remain…
MagicItem: Dynamic Behavior Design of Virtual Objects with Large Language Models in a Consumer Metaverse Platform
Ryutaro Kurai, Takefumi Hiraki, Yuichi Hiroi +4
To create rich experiences in virtual reality (VR) environments, it is essential to define the behavior of virtual objects through programming. However, programming in 3D spaces re…