We are living in a world surrounded by diverse and" smart" devices with rich modalities of
sensing ability. Conveniently capturing the interactions between us humans and these …

Existing wearable motion capture methods typically demand tight on-body fixation (often
using straps) for reliable sensing limiting their application in everyday life. In this paper we …

While camera-based capture systems remain the gold standard for recording human motion,
learning-based tracking systems based on sparse wearable sensors are gaining popularity …

Motion capture technology is crucial in various applications like animation, virtual reality and
sports analysis. With the development of deep learning methods, significant progress has …

Foot contact is an important cue for human motion capture understanding and generation.
Existing datasets tend to annotate dense foot contact using visual matching with …

Comprehensive capturing of human motions requires both accurate captures of complex
poses and precise localization of the human within scenes. Most of the HPE datasets and …

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 …

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 3D human poses from monocular images is an important research area with
many practical applications. However, the depth ambiguity of 2D solutions limits their …