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

A Method of Using Personal Habits for Path Prediction in Network Games

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)
Li, Shaolong ; Beijing Jiaotong Univ. Shangyuancun, Beijing ; Chen, Changjia ; Li, Lei

In almost all of multiplayer network games, dead-reckoning (DR) is used to predict movement of game players. According to received DR vectors, game clients can predict future' movement of other players. However, DR does not work well under bad network conditions. In this paper, we propose a solution to achieve much more prediction accuracy. Personal habits influence path prediction of players. However, our method introduces extra computation burden and searching delay. So, a hybrid method, which is a combination of DR and personal habits, is introduced. We use a 2D tank game for experiment and compare the results of our solution with those of traditional methods. To obtain habitual movement, we carry out 30 minutes playing observation on each participator. Simulation shows that our method achieves significant improvement in path prediction.

Published in:

Data, Privacy, and E-Commerce, 2007. ISDPE 2007. The First International Symposium on

Date of Conference:

1-3 Nov. 2007

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.