We present a lightweight and affordable motion capture method based on two smartwatches
and a head-mounted camera. In contrast to the existing approaches that use six or more …

Mixed Reality systems aim to estimate a user's full-body joint configurations from just the
pose of the end effectors, primarily head and hand poses. Existing methods often involve …

Existing inertial motion capture techniques use the human root coordinate frame to estimate
local poses and treat it as an inertial frame by default. We argue that when the root has …

In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research
has been devoted to harnessing this transformative technology in various real-world …

We present SimXR a method for controlling a simulated avatar from information (headset
pose and cameras) obtained from AR/VR headsets. Due to the challenging viewpoint of …

Estimating full-body human motion via sparse tracking signals from head-mounted displays
and hand controllers in 3D scenes is crucial to applications in AR/VR. One of the biggest …

It is especially challenging to achieve real-time human motion tracking on a standalone VR
Head-Mounted Display (HMD) such as Meta Quest and PICO. In this paper we propose …

Estimating full-body motion using the tracking signals of head and hands from VR devices
holds great potential for various applications. However, the sparsity and unique distribution …

Efficiently estimating the full-body pose with minimal wearable devices presents a
worthwhile research direction. Despite significant advancements in this field, most current …