Recognizing Criminal Intent through Facial Expressions

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Gnanaprakasam C, Joab Eliot G, Manoj Kumar Rajagopal, Madhubalan Selvaraju, G. Ramkumar

Abstract

Artificial intelligence is developing rapidly as a result of recent advances in the identification of image and emotion patterns in human facial features. On the other hand, the rise in crime and wrongful imprisonment are causing society to disintegrate. Artificial intelligence has greatly aided in the development of our contemporary society. Knowing the issue and the appropriate set of instruments to address it is an essential skill, and having the ability to apply those tools effectively elevates one to the rank of supreme being in the cosmos. False imprisonment is an issue that requires attention. Recognizing the facts,1 in 20 criminal prosecutions in the US alone end in an incorrect conviction. Innocent persons who have been unfairly convicted make up 1% of US jail populations, or about 20,000 people, according to the Innocent Project group. Facial emotion detection and datasets gathered based on the study "Criminality in the face" can be used by artificial intelligence to help lessen the problem of false convictions. According to a Kinesics survey, specific body motions and movements can be used as a kind of non-verbal communication. By Ray Birdwhistell in 1952, the phrase was first used. As the proverb "Face is the index of mind" states, facial expressions are an important aspect of non-verbal communication. Analyzing a person's face might provide insight into the circumstances around a criminal suspect.

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How to Cite
Gnanaprakasam C, et al. (2023). Recognizing Criminal Intent through Facial Expressions. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 3963–3967. https://doi.org/10.17762/ijritcc.v11i9.9737
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Articles