Human and environment sensing are two important topics in Computer Vision and Graphics.
Human motion is often captured by inertial sensors, while the environment is mostly …

Egocentric human pose estimation aims to estimate human body poses and develop body
representations from a first-person camera perspective. It has gained vast popularity in …

In this work we explore egocentric whole-body motion capture using a single fisheye camera
which simultaneously estimates human body and hand motion. This task presents significant …

In industrial countries, adults spend a considerable amount of time sedentary each day at
work, driving and during activities of daily living. Characterizing the seated upper body …

Egocentric vision has gained increasing popularity in social robotics, demonstrating great
potentials for personal assistance and human-centric behavior analysis. Holistic per-ception …

Egocentric human pose estimation (HPE) using wearable sensors is essential for VR/AR
applications. Most methods rely solely on either egocentric-view images or sparse Inertial …

In recent years, human pose estimation has been widely studied as a branch task of
computer vision. Human pose estimation plays an important role in the development of …

The human motion capture (mocap) technology has wide applications, especially in
entertainment, sports analysis, and human-computer interactions. Among the motion capture …