TY - GEN
T1 - AdaBoost-based sensor fusion for credibility assessment
AU - Alipour, Hamid
AU - Zeng, Daniel
AU - Derrick, Douglas C.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - Adaboost
KW - Credibility Assessment
KW - Data fusion
KW - Sensor Signal Integration
UR - http://www.scopus.com/inward/record.url?scp=84867365413&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867365413&partnerID=8YFLogxK
U2 - 10.1109/ISI.2012.6284314
DO - 10.1109/ISI.2012.6284314
M3 - Conference contribution
AN - SCOPUS:84867365413
SN - 9781467321037
T3 - ISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics: Cyberspace, Border, and Immigration Securities
SP - 224
EP - 226
BT - ISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics
T2 - 2012 10th IEEE International Conference on Intelligence and Security Informatics, ISI 2012
Y2 - 11 June 2012 through 14 June 2012
ER -