Results 251 to 260 of about 9,285,453 (352)
Robo‐Saber: Generating and Simulating Virtual Reality Players
Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim +5 more
wiley +1 more source
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
Cerebellar contribution to feedforward control of locomotion. [PDF]
Pisotta I, Molinari M.
europepmc +1 more source
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton +5 more
wiley +1 more source
Class Angular Distortion Index for Dimensionality Reduction
Abstract Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high‐level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over‐emphasize them.
Kaviru Gunaratne +2 more
wiley +1 more source
Dancing Points: Synthesizing Ballroom Dancing With Three‐Point Inputs
From a dancer's head and hands motion captured by VR devices, we synthesize full‐body ballroom dancing for both leader and follower dancers. We decompose this dual‐character synthesis into jointly predicting both dancers' three‐point trajectories, then recovering each full body independently, resulting in a stable, responsive model trained with limited
Peizhuo Li +3 more
wiley +1 more source
Nonlinear spectral modeling and control of soft-robotic muscles from data. [PDF]
Bettini L +3 more
europepmc +1 more source

