Detecting personality traits using inter-hemispheric asynchrony of the brainwaves

Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Affective personality traits have been associated with a risk of developing mental and cognitive disorders and can be informative for early detection and management of such disorders. However, conventional personality trait detection is often biased and unreliable, as it depends on the honesty of the subjects when filling out the lengthy questionnaires. In this paper, we propose a method for objective detection of personality traits using physiological signals. Subjects are shown affective images and videos to evoke a range of emotions. The electrical activity of the brain is captured using EEG during this process and the multi-channel EEG data is processed to compute the inter-hemispheric asynchrony of the brainwaves. The most discriminative features are selected and then used to build a machine learning classifier, which is trained to predict 16 personality traits. Our results show high predictive accuracy for both image and video stimuli individually, and an improvement when the two stimuli are combined, achieving a 95.49% accuracy. Most of the selected discriminative features were found to be extracted from the alpha frequency band. Our work shows that personality traits can be accurately detected with EEG data, suggesting possible use in practical applications for early detection of mental and cognitive disorders.

Original languageEnglish
Title of host publication42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationEnabling Innovative Technologies for Global Healthcare, EMBC 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages62-65
Number of pages4
ISBN (Electronic)9781728119908
ISBN (Print)9781728119915
DOIs
Publication statusPublished - 1 Jul 2020
Event42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
Duration: 20 Jul 202024 Jul 2020

Conference

Conference42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
CountryCanada
CityMontreal
Period20/07/2024/07/20

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  • Cite this

    Sharan, R. V., Berkovsky, S., Taib, R., Koprinska, I., & Li, J. (2020). Detecting personality traits using inter-hemispheric asynchrony of the brainwaves. In 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020 (pp. 62-65). [9176108] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC44109.2020.9176108