Motion Modeling: Can We Get Rid of Motion Capture?

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Motion Modeling: Can We Get Rid of Motion Capture?

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From finger animation to full-body embodiment of avatars with different morphologies and proportions

Microgravity induces overconfidence in perceptual decision-making

Rapid motion estimation and correction using self-encoded FID navigators in 3D radial MRI

Automated Human Motion Analysis and Synthesis

Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration

Real-time Self-contact Retargeting of Avatars down to Finger Level

Out-of-body illusion induced by visual-vestibular stimulation

Encoder-Decoder Models for Human Segmentation and Motion Analysis

Explanation of Optical Force and Torque on Nanomotors as the Interplay of Huygens Sources

Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object

A Wearable Smart Glove and Its Application of Pose and Gesture Detection to Sign Language Classification

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

Game-theoretic Mechanisms for Eliciting Accurate Information

Fat navigators based retrospective motion correction strategies for brain magnetic resonance imaging

Propulsion module for generating wave-like motion

A Stochastic Conditioning Scheme for Diverse Human Motion Prediction

Preventing Breaks in Embodiment in Immersive Virtual Reality

Motion Prediction Using Temporal Inception Module

Analysis and Modeling of the Dynamics of Traction Forces during Cell Polarization and their Role in the Organization of Edge Activity

A data-driven perspective on the colours of metal-organic frameworks