7 papers
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…
Temporal Posed and Spontaneous Gesture Recognition from Electromyography in the Rock-Paper-Scissors Game
Xin Wei, Huakun Liu, Felix Dollack +1
The importance of gesture recognition has been acknowledged in many domains requiring real-time recognition systems. Two requirements for these are fast recognition in multiuser co…
Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions
Huakun Liu, Miao Cheng, Xin Wei +6
Emotional body motion expressions are an essential element of non-verbal communication. Effectively conveying these expressions through technology is of utmost importance, for exam…
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…
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…