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