Classification of EEG Data using k-Nearest Neighbor approach for Concealed Information Test-Reference-Cited by-同舟云学术

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Classification of EEG Data using k-Nearest Neighbor approach for Concealed Information Test

Published:2018 Issue: Volume:143 Page:242-249
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Bablani Annushree,Edla Damodar Reddy,Dodia Shubham

Publisher

Elsevier BV

Subject

General Engineering

Reference16 articles.

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2. “The truth will out: Interrogative polygraphy (lie detection) with event-related brain potentials”;Farwell;Psy-chophysiology,1991

3. Evaluation of p300 based lie detection algorithm;Haider;Electrical and Electronic Engineering,2017

4. An experiment of lie detection based eeg-p300 classified by svm algorithm;Simbolon,2015

5. Eeg analysis based on time domain properties;Hjorth;Electroencephalography and clinical neurophysiology,1970

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