A New Paradigm for Automatic Unveiling of Human Thoughts by Reading Brain Signals
L. Amudha1, T.M. Nithya2
1L. Amudha, Assistant Professor, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Trichy 621 112, (Tamil Nadu). India.
2T.M. Nithya, Assistant Professor, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Trichy 621 112, (Tamil Nadu). India.
Manuscript received on 23 July 2015 | Revised Manuscript received on 30 July 2015 | Manuscript published on 30 July 2015 | PP: 15-19 | Volume-4 Issue-3, July 2015 | Retrieval Number: C1447074315©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We now live in the age of deception. Existing techniques to detect deception uses polygraph methods to assess whether a suspect is guilt or not. These methods rely on measurement of autonomic arousal like palm sweating, facial expressions, words uttered, and answer to queries, actions and heart rate to get knowledge about any crime scene. No criminal would ever accept his crime. And a practiced user can conceal the emotions mentioned above. The most detailed knowledge of any crime is locked away in the brain of the person who committed it. The fact is that no person has control over his brain signals. Use of functional magnetic resonance imaging in lie detection derives from studies suggesting that persons asked to lie show different patterns of brain activity than they do when being truthful. There are over a billion neurons in the brain that communicate with each other using electrochemical signal. Since no person can hide his brain signals, a novel and easy method of detecting concealed information, brain fingerprinting using EEG (Electroencephalogram) is gaining wide attention among investigating agencies. The issues and applicability of brain fingerprinting is discussed in the following sections and a wide range of research scope is also proposed.
Keywords: Polygraph, Electroencephalography (EEG), Brain fingerprinting, P300-MERMER, ERP signals.
Scope of the Article: Bioinformatics