Design and implementation of an EEG-based recognition mechanism for the openness trait of the Big Five.

Bingxue Zhang, Yuyang Zhuge, Zhong Yin

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Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 authors.

Bingxue ZhangDepartment of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.

Yuyang ZhugeDepartment of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.

Zhong YinDepartment of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.

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6 · The paper itself

Abstract

The differentiation between the openness and other dimensions of the Big Five personality model indicates that it is necessary to design a specific paradigm as a supplement to the Big Five recognition. The present study examined the relationship between one's openness trait of the Big Five model and the task-related power change of upper alpha band (10-12 Hz). We found that individuals from the high openness group displayed a stronger alpha synchronization over a frontal area in symbolic reasoning task, while the reverse applied in the deductive reasoning task. The results indicated that these two kinds of reasoning tasks could be used as supplement of the Big Five recognition. Besides, we divided one's openness score into three levels and proposed a hybrid-SNN (Spiking Neural Networks)-ANN (Analog Neural Networks) architecture based on EEGNet to recognize one's openness level, named Spike-EEGNet. The recognition accuracy of the two tasks was 90.6 and 92.2%. This result was highly significant for the validation of using a model with hybrid-SNN-ANN architecture for EEG-based openness trait recognition.

Indexed as

intelligenceopenness traitspiking neural networkstask-related powerthe Big Five

Identifiers

PMID36161161

DOI10.3389/fnins.2022.926256

PMCPMC9490266

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.