alexa LIE DETECTION SYSTEM USING ARTIFICIAL NEURAL NETWORK | Abstract
ISSN: 1948-1432

Journal of Global Research in Computer Sciences
Open Access

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Research Article Open Access

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.

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Author(s): Nidhi Srivastava and Dr. Sipi Dubey

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