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

Person identification through perceptual fusion

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)
Martinson, E. ; U.S. Naval Res. Lab., Washington, DC, USA ; Lawson, W. ; Trafton, J.G.

When a robot interacts with an individual, it is important to know with whom it is interacting, either to avoid social faux pas or remember user preferences. Continuous person identification during normal interactions, however, is extremely challenging. A person is periodically speaking to the robot, while at the same time changing pose, looking in other directions, etc. In this paper, we address the problem of continuous person identification using both speech and face recognition. We demonstrate that both modalities can together produce a system that is superior at person identification than from using a single modality alone.

Published in:

Humanoid Robots (Humanoids), 2010 10th IEEE-RAS International Conference on

Date of Conference:

6-8 Dec. 2010

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.