July 1, 2020

Truth Identification from EEG Signal by using Convolution neural network: Lie Detection

View Full Paper

Ask AI

Bookmark

Why the study?

Traditional lie detection relies on physiological activities that subjects can control, motivating the use of EEG brain signals to identify truth or lies.

Does a convolutional neural network applied to 14-channel EEG signals accurately identify truth or lie statements?

Comparison

14-channel EEG signal classification into truth vs lie statements using a convolutional neural network

Authors

NBNeeraj Baghel DSDivyanshu Singh MDMalay Kishore Dutta

Discussion

Member takes

Overview

Provides initial EEG-CNN evidence for deception detection; leaves open prospective validation before any application.

Structured PICO

Does a convolutional neural network applied to 14-channel EEG signals accurately identify truth or lie statements?

Population

Subjects undergoing EEG for lie detection

Intervention

Convolutional neural network (CNN) applied to 14-channel EEG signals

Outcome

Accuracy of truth or lie identification

A deep learning model using 14-channel EEG signals can identify truth or lie statements with up to 84.44% accuracy.

Cite This Study

Baghel et al. (2020) studied this question.

synapsesocial.com/papers/69dab2d0615cc0c8eaa3ce27 https://doi.org/10.1109/tsp49548.2020.9163497

View Full Paper

Ask AI

Bookmark

July 1, 2020

Truth Identification from EEG Signal by using Convolution neural network: Lie Detection

View Full Paper

Ask AI

Bookmark

Why the study?

Traditional lie detection relies on physiological activities that subjects can control, motivating the use of EEG brain signals to identify truth or lies.

Does a convolutional neural network applied to 14-channel EEG signals accurately identify truth or lie statements?

Comparison

14-channel EEG signal classification into truth vs lie statements using a convolutional neural network

Authors

NBNeeraj Baghel DSDivyanshu Singh MDMalay Kishore Dutta

Discussion

Member takes

Overview

Provides initial EEG-CNN evidence for deception detection; leaves open prospective validation before any application.

Structured PICO

Does a convolutional neural network applied to 14-channel EEG signals accurately identify truth or lie statements?

Population

Subjects undergoing EEG for lie detection

Intervention

Convolutional neural network (CNN) applied to 14-channel EEG signals

Outcome

Accuracy of truth or lie identification

A deep learning model using 14-channel EEG signals can identify truth or lie statements with up to 84.44% accuracy.

Cite This Study

Baghel et al. (2020) studied this question.

synapsesocial.com/papers/69dab2d0615cc0c8eaa3ce27 https://doi.org/10.1109/tsp49548.2020.9163497

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark