We present MoCaPose, a novel wearable motion capturing (MoCap) approach to
continuously track the wearer's upper body's dynamic poses through multi-channel …

The inadequate use of finger properties has limited the input space of touch interaction. By
leveraging the category of contacting fingers, finger-specific interaction is able to expand …

Real-time hand pose estimation has a wide range of applications spanning gaming,
robotics, and human-computer interaction. In this paper, we introduce EITPose, a wrist-worn …

Despite advancements in egocentric hand tracking using head-mounted cameras, contact
detection with real-world objects remains challenging, particularly for the quick motions often …

Hand pose estimation has recently emerged as a compelling topic in the robotic research
community, because of its usefulness in learning from human demonstration or safe human …

Recent research advance has significantly improved the visual real-ism of immersive 3D
video communication. In this work we present a method to further enhance this immersive …

Methods from machine learning (ML) have transformed the implementation of Perception-
Cognition-Communication-Action loops in Cyber-Physical Systems (CPS) and the Internet of …

Estimating hand pose is a challenge that has significantly benefited from using deep
learning-based algorithms. This study area holds critical significance across various …

Technological advances and scalability are leading Human-Computer Interaction (HCI) to
evolve towards intuitive forms, such as through gesture recognition. Among the various …

The convenient text input system is a pain point for devices such as AR glasses, and it is
difficult for existing solutions to balance portability and efficiency. This paper introduces …