1 citations · 1 across the 6 of their papers we have counts for
8 papers
Comparing Haptic Feedback Across Hand Tracking and Controllers in VR Object Interaction Tasks
Natalia Ocampo, J. Felipe Gonzalez, Robert J. Teather +1
Hand tracking offers natural VR interaction but lacks controllers' inherent tactile feedback, while haptic feedback across input methods remains understudied. We conducted a partic…
ARMS: Anchor-Relational Motion Streaming for Seamless Solo-Social Motion Transitions
Huakun Liu, Qing Yu, Kent Fujiwara +2
Generating temporally continuous and socially coherent human motion from text remains a fundamental challenge, particularly in realistic streams where people act alone, enter inter…
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…
Ensemble Learning to Assess Dynamics of Affective Experience Ratings and Physiological Change
Felix Dollack, Kiyoshi Kiyokawa, Huakun Liu +4
The congruence between affective experiences and physiological changes has been a debated topic for centuries. Recent technological advances in measurement and data analysis provid…