A Lie Detector Using Fuzzy Neural Networks

Duration: Sep 2006 – Apr 2007

The paper proposes a real world model of a lie detector using fuzzy neural networks. The standard lie detector used today is simply a polygraph to gauge human bodily reactions to questions, the response to which can be faked with some practice and as such is not counted as evidence in court. The lie detector proposed here tries to circumvent the need for a trained psycho physiologist through the use of FNN, aiming to make the evidence of such a test acceptable in court procedures.

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