Abstract

Research into the application of EEG technology for lie detection during interrogation has gained significant popularity. However, no EEG method has yet proven to be entirely reliable for lie detection. Therefore, further research is necessary to develop a roadmap for utilizing brain signals in interrogation tools other than the Polygraph, which is still commonly used by law enforcement to solve crimes. This additional research is expected to yield valid data and more dependable methods for analyzing EEG signals. The parameters obtained from this research can be used to develop AI-powered computer systems that can detect when someone is lying based on their brain signals. This study used Power Spectral Density (PSD) analysis to investigate brain activity in 20 participants who viewed familiar and unfamiliar images. EEG data were collected from specific channels (T3, T4, T5, T6) in the temporal region, as well as channels (O1, O2) in the occipital region, across the alpha, beta, and gamma frequency ranges. The findings revealed that the PSD values observed on the specified channels T3, T4, T5, and T6 were higher when participants did not recognize the image object. Additionally, channel O2 showed increased right-brain activity when participants failed to recognize the object. Machine learning algorithms were employed to classify the data, with the Random Forest method achieving the highest accuracy at 95.4%.

Original languageEnglish
Title of host publication2023 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationLeveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-82
Number of pages6
ISBN (Electronic)9798350313956
DOIs
Publication statusPublished - 2023
Event24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023 - Hybrid, Surabaya, Indonesia
Duration: 26 Jul 202327 Jul 2023

Publication series

Name2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding

Conference

Conference24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Country/TerritoryIndonesia
CityHybrid, Surabaya
Period26/07/2327/07/23

Keywords

  • EEG
  • Power Spectral Density
  • familiar unfamiliar
  • lie detector
  • machine learning

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