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A Deep Learning Model for EEG-Based Lie Detection Test Using Spatial and Temporal Aspects

  • Published:2022 Issue:3 Volume:73 Page:5655-5669
  • ISSN:1546-2226
  • Container-title:Computers, Materials & Continua
  • language:en
  • Short-container-title:

Author:

Abdulaziz AlArfaj Abeer,Ahmed Hosni Mahmoud Hanan

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference34 articles.

1. Building a better lie detector with BERT: The difference between truth and lies;Barsever,2020

2. Lie detector with pupil dilation and eye blinks using hough transform and frame difference method with fuzzy logic;Nugroho,2017

3. Deep learning model to detect suspects’ lies;Ahmet;Journal of Applied Informatics,2021

4. Lie detection of young age subjects;Hafez,2021

5. Detecting COVID-19 patients in X-ray images based on MAI-nets;Wang;International Journal of Computational Intelligence Systems,2021

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LieWaves: dataset for lie detection based on EEG signals and wavelets;Medical & Biological Engineering & Computing;2024-02-05

2. Identifying the Risk in Lie Detection for Assessing Guilty and Innocent Subjects for Healthcare Applications;Engineering Cyber-Physical Systems and Critical Infrastructures;2024

3. LSTMNCP: lie detection from EEG signals with novel hybrid deep learning method;Multimedia Tools and Applications;2023-09-18

4. Comprehensive Review of Lie Detection in Subject Based Deceit Identification;Intelligent Computing and Networking;2023
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