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Identification of Deception Through Brain Signal Processing Based on the Bootstrapped Correlation Difference (BCD) | ||
پدافند غیرعامل | ||
Volume 4, Issue 2 - Serial Number 14, September 2013, Pages 64-57 PDF (250.51 K) | ||
Document Type: Original Article | ||
Authors | ||
E. Ebrahimzade* ; S. M. Alavi | ||
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Receive Date: 14 May 2013, Revise Date: 18 May 2013, Accept Date: 10 June 2013 | ||
Abstract | ||
In countering an enemy's military, intelligence and security provocations, applying passive defense tools is inevitable. In today's world, applying passive defense to counter these issues in regard to less cost and low vulnerability and the ease of its implementation is the most essential tool and something that has always been noticed. Recently, regarding the high scientific, technical and military advances, these techniques have emerged in a modern manner. One of the most important systems in passive defense is the authenticity or certainty in detecting the truthfulness of a person's words through brain signal processing. In this essay, with the intent of presenting a capable method to detect the guilty person in the lie detectors, a method based on recognition parameter called P300 has been designed and reviewed. For this reason and based on the Odd-ball Pattern( reconstruction of hidden figure) a test has been designed and the brain signals of 18 people have been recorded. And finally Guilty and Innocent persons were classified through Bootstrapped Correlation Difference (BCD) method. The validated results show the promise of the proposed approach by the accuracy of 94.5%. | ||
Keywords | ||
Lie-Detection System; Deception; Electroencephalography (EEG) | ||
References | ||
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