TY - JOUR ID - 168820 TI - A Survey on Deceptive Detection Systems and Technologies JO - Engineering and Technology Journal JA - ETJ LA - en SN - 1681-6900 AU - Thannoon, Harith H. AU - Ali, Wissam H. AU - Hashim, Ivan A. AD - Dept. of Electrical Engineering, University of Technology, Baghdad - Iraq Y1 - 2019 PY - 2019 VL - 37 IS - 3A SP - 90 EP - 95 KW - deceptive detection KW - clues KW - database DO - 10.30684/etj.37.3A.3 N2 - There are many types of indicators that have been proven to be useful clues for deceptive detection techniques, and most of this indicators that have been presented and proven by psychology to be signs of lying. This paper presents a survey of most popular deceptive detection systems. Many techniques for lie detection have been presented by researchers; most of them are reviewed in this paper. This study focus on the algorithms, which are presented in some pervious work, and how the database has been collected for each technique, furthermore explain the adopted cues for each deception detection technique. The accuracy of each proposed technique is included in this paper, then this study shows the advantage and disadvantages for each deception system with the useful and robust cues here. UR - https://etj.uotechnology.edu.iq/article_168820.html L1 - https://etj.uotechnology.edu.iq/article_168820_99ef440741ab7c9787ff1e589e989b7a.pdf ER -