Cart (Loading....) | Create Account
Close category search window

Hand Motion Prediction for Distributed Virtual Environments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chan, A. ; Durham Univ., Durham ; Lau, Rynson W.H. ; Li, L.

We use our hands to manipulate objects in our daily life. The hand is capable of accomplishing diverse tasks such as pointing, gripping, twisting, and tearing. However, there is not much work that considers using the hand as input in distributed virtual environments (DVEs), in particular, over the Internet. The main reasons are that the Internet suffers from high network latency, which affects interaction, and the hand has many degrees of freedom, which adds additional challenges to synchronizing the collaboration. In this paper, we propose a prediction method specifically designed for human hand motion to address the network latency problem in DVEs. Through a thorough analysis of finger motion, we have identified various finger motion constraints, and we propose a constraint-based motion prediction method for hand motion. To reduce the average prediction error under high network latency, for example, over the Internet, we further propose a revised dead-reckoning scheme here. Our performance results show that the proposed prediction method produces a lower prediction error than some popular methods, and the revised dead-reckoning scheme produces a lower average prediction error than the traditional dead-reckoning scheme, particularly at high network latency.

Published in:

Visualization and Computer Graphics, IEEE Transactions on  (Volume:14 ,  Issue: 1 )

Date of Publication:

Jan.-Feb. 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.