AdaBoost-based sensor fusion for credibility assessment

Hamid Alipour, Daniel Zeng, Douglas C. Derrick

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Individual credibility assessment is an ever-growing requirement in different applications including border crossing, airport checkpoint screening, criminal investigations, etc. In this paper, we describe a heterogeneous sensor fusion algorithm based on the AdaBoost algorithm and a speech emotional recognition technique in order to develop an automatic noninvasive credibility assessment system. Our initial results based on two available sensors show a promising increase in the accuracy and performance of the system.

Original languageEnglish (US)
Title of host publicationISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationCyberspace, Border, and Immigration Securities
Pages224-226
Number of pages3
DOIs
StatePublished - 2012
Event2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012 - Washington, DC, United States
Duration: Jun 11 2012Jun 14 2012

Publication series

NameISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics: Cyberspace, Border, and Immigration Securities

Conference

Conference2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012
Country/TerritoryUnited States
CityWashington, DC
Period6/11/126/14/12

Keywords

  • Adaboost
  • Credibility Assessment
  • Data fusion
  • Sensor Signal Integration

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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