ISSN: 2229-371X

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Research Article Open Access

LIE DETECTION SYSTEM USING ARTIFICIAL NEURAL NETWORK

Abstract

In this paper, we demonstrate that we can use non-invasive physiology sensing to detect stress and lying, within the context of Artificial Neural Network. We show how simply derived non-invasive physiological features such as voice pitch variation, and heart rate variability are correlated to a number of high stress situations found in real life. Using these features, we can develop simple linear models that can be used to identify stress and bluffing.

Nidhi Srivastava and Dr. Sipi Dubey

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