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DOI Prefix: 10.47001/IRJIET
Vol 8 No 3 (2024): Volume 8, Issue 3, March 2024 | Pages: 9-18
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 07-03-2024
This paper offers a thorough analysis of the state of deceit detection in criminal justice and law enforcement settings as of right now. The study, which synthesizes findings from multiple investigations, emphasizes the progress made as well as the ongoing difficulties in accurately distinguishing deception from truth. The limitations of conventional techniques like behavior analysis interviews and polygraph exams, the potential of alternative strategies like voice tone analysis and facial expression analysis, and the moral ramifications of using emotional AI systems for deception detection are some of the main subjects covered. The review highlights the necessity for ongoing interdisciplinary research efforts and ethical concerns through critical analysis and discussion, in order to progress the field of deception detection while maintaining justice and respect to human rights values.
Deception detection, Law enforcement, Criminal justice, Behavioral analysis, Polygraph examinations, Facial expressions, Vocal tones, Emotional AI, Ethics
Yahya Abdulsattar Mohammed, “Enhancing Criminal Detection: A Multi-Step Approach for Live Location Tracking and Emotion Verification Using Facial Recognition Technology” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 8, Issue 3, pp 9-18, March 2024. Article DOI https://doi.org/10.47001/IRJIET/2024.803002
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