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Big Five Personality Traits Prediction Using Brain Signals

Big Five Personality Traits Prediction Using Brain Signals

Resham Arya, Ashok Kumar, Megha Bhushan, Piyush Samant
Copyright: © 2022 |Volume: 11 |Issue: 2 |Pages: 10
ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781683182504|DOI: 10.4018/IJFSA.296596
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MLA

Arya, Resham, et al. "Big Five Personality Traits Prediction Using Brain Signals." IJFSA vol.11, no.2 2022: pp.1-10. http://doi.org/10.4018/IJFSA.296596

APA

Arya, R., Kumar, A., Bhushan, M., & Samant, P. (2022). Big Five Personality Traits Prediction Using Brain Signals. International Journal of Fuzzy System Applications (IJFSA), 11(2), 1-10. http://doi.org/10.4018/IJFSA.296596

Chicago

Arya, Resham, et al. "Big Five Personality Traits Prediction Using Brain Signals," International Journal of Fuzzy System Applications (IJFSA) 11, no.2: 1-10. http://doi.org/10.4018/IJFSA.296596

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Abstract

Brain activity ensures the identification of emotions that are generally influenced by the personality of an individual. Similar to emotions, there exists a relationship between personality and brain signals. These brain signals could be of a mentally healthy person or someone having psychological illness as well. In this paper, first, the survey related to work done on the personality prediction of healthy subjects is explored. Thereafter, the relationship between personality and psychologically ill subjects is also briefly presented based on the existing literature. Following this, an analysis of physiological signals (EEG) is also done for more understanding of personality prediction. ASCERTAIN – a multimodal database for implicit personality and recognition, is considered. It contains EEG recordings and self-annotated big five personality values of 58 students. Some time and frequency domain features are extracted and then put into various classifiers to predict the personality in five dimensions.

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