1 citations · 2 across the 4 of their papers we have counts for
4 papers
Garment Inertial Denoiser (GID): Endowing Accurate Motion Capture via Loose IMU Denoiser
Jiawei Fang, Ruonan Zheng, Xiaoxia Gao +4
Wearable inertial motion capture (MoCap) provides a portable, occlusion-free, and privacy-preserving alternative to camera-based systems, but its accuracy depends on tightly attach…
FIP: Endowing Robust Motion Capture on Daily Garment by Fusing Flex and Inertial Sensors
Jiawei Fang, Ruonan Zheng, Yuanyao +4
What if our clothes could capture our body motion accurately? This paper introduces Flexible Inertial Poser (FIP), a novel motion-capturing system using daily garments with two elb…
Precise Pick-and-Place using Score-Based Diffusion Networks
Shih-Wei Guo, Tsu-Ching Hsiao, Yu-Lun Liu +1
In this paper, we propose a novel coarse-to-fine continuous pose diffusion method to enhance the precision of pick-and-place operations within robotic manipulation tasks. Leveragin…
SuDA: Support-based Domain Adaptation for Sim2Real Motion Capture with Flexible Sensors
Jiawei Fang, Haishan Song, Chengxu Zuo +4
Flexible sensors hold promise for human motion capture (MoCap), offering advantages such as wearability, privacy preservation, and minimal constraints on natural movement. However,…