Deception Detection using Real-life Trial Data
Author:
Affiliation:
1. University of Michigan, Ann Arbor, MI, USA
2. University of Michigan - Flint, Flint, MI, USA
Funder
NSF
DARPA-BAA-12-47 DEFT
John Templeton Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2818346.2820758
Reference44 articles.
1. Who can best catch a liar? a meta-analysis of individual differences in detecting deception;Aamodt M.;Forensic Examiner,2006
2. Deception detection using a multimodal approach
3. J. Allwood L. Cerrato K. Jokinen C. Navarretta and P. Paggio. The mumin coding scheme for the annotation of feedback turn management and sequencing phenomena. Language Resources and Evaluation 41(3--4):273--287 2007. J. Allwood L. Cerrato K. Jokinen C. Navarretta and P. Paggio. The mumin coding scheme for the annotation of feedback turn management and sequencing phenomena. Language Resources and Evaluation 41(3--4):273--287 2007.
4. Detecting Concealment of Intent in Transportation Screening: A Proof of Concept
Cited by 135 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deception Detection Using Facial and Audio Transcript Features : A Review;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-09-05
2. Can lies be faked? Comparing low-stakes and high-stakes deception video datasets from a Machine Learning perspective;Expert Systems with Applications;2024-09
3. Video Deception Detection through the Fusion of Multimodal Feature Extraction and Neural Networks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
4. On the Use of Pitch-Based Features for Detecting Simultaneous Fear Emotion and Deception Behavior From Speech;International Journal of Pattern Recognition and Artificial Intelligence;2024-06-29
5. Lies Uncovered: Comparing the Performance of Deep Learning Techniques in Video-Based Deception Detection;2024 2nd International Conference on Communications, Computing and Artificial Intelligence;2024-06-21
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3