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

A biometric signature based system for improved emotion recognition using physiological responses from multiple subjects

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

5 Author(s)
Yuan Gu ; Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Su-Lim Tan ; Kai-Juan Wong ; Moon-Ho Ringo Ho
more authors

Emotion awareness has become one of the key characteristics in human-computer interactions in order to achieve more natural and intelligent communications. As an alternative channel for emotional communication, physiological signals have gradually earned attentions in the field of affective computing. Ever since Dr. Picard and colleagues brought forward the initial concept of physiological signals based emotion recognition, various studies have been reported following the same system structure, which tends to perform worse when dealing with multiple subjects. In this paper, we proposed a novel biometric signature based system that is able to improve the performance of multi-subject emotion recognition. The basic idea is to transform a subject-independent case into several subject-dependent cases by using mixture multivariate t-distributions and Maximum a Posteriori (MAP) rule to remove the influence of individual varieties. The result shows great improvement compared to the traditional subject-independent procedure.

Published in:

Industrial Informatics (INDIN), 2010 8th IEEE International Conference on

Date of Conference:

13-16 July 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.