4 papers · 1 filter
DiffCap: Diffusion-based Real-time Human Motion Capture using Sparse IMUs and a Monocular Camera
Shaohua Pan, Xinyu Yi, Yan Zhou +4
Combining sparse IMUs and a monocular camera is a new promising setting to perform real-time human motion capture. This paper proposes a diffusion-based solution to learn human mot…
BaroPoser: Real-time Human Motion Tracking from IMUs and Barometers in Everyday Devices
Libo Zhang, Xinyu Yi, Feng Xu
In recent years, tracking human motion using IMUs from everyday devices such as smartphones and smartwatches has gained increasing popularity. However, due to the sparsity of senso…
MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances
Yunzhe Shao, Xinyu Yi, Lu Yin +3
This paper proposes a novel method called MagShield, designed to address the issue of magnetic interference in sparse inertial motion capture (MoCap) systems. Existing Inertial Mea…
Hand-Object Interaction Controller (HOIC): Deep Reinforcement Learning for Reconstructing Interactions with Physics
Haoyu Hu, Xinyu Yi, Zhe Cao +2
Hand manipulating objects is an important interaction motion in our daily activities. We faithfully reconstruct this motion with a single RGBD camera by a novel deep reinforcement…