Work

XRMan: Towards Real-time Hand-Object Pose Tracking in eXtended Reality

Year: 2024

Type: conference-paper

Abstract: Accurate tracking of hand and object poses is essential for immersive XR applications. However, existing methods often struggle with the stringent requirements of XR environments. We present XRMan, a real-time hand-object pose tracking system designed for in-the-wild scenarios. XRMan uses a drift monitoring module for consistent accuracy, while farthest-point sampling and collider-based optimization streamline iterative optimization and reduce latency. Our system reduces end-to-end latency by 38.9% compared to the baseline, with further improvements expected from the collider-based post-optimization module.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3697422

Authors: Dongho Han, Jingyu Lee, Minjae Kim, Youngki Lee

Institution: Seoul National University

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4405014959

FWCI: 0.326

Cites: 3

Cited by: 1

Related to: 10