Automatic Recognition of Personality Profiles Using EEG Functional Connectivity during Emotional Processing
Personality is the characteristic set of an individual’s behavioral and emotional patterns that evolve from biological and environmental factors. The recognition of personality profiles is crucial in making human–computer interaction (HCI) applications realistic, more focused, and user friendly. The...
Main Authors: | Manousos A. Klados, Panagiota Konstantinidi, Rosalia Dacosta-Aguayo, Vasiliki-Despoina Kostaridou, Alessandro Vinciarelli, Michalis Zervakis |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Brain Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3425/10/5/278 |
Similar Items
-
A Personalized User Authentication System Based on EEG Signals
by: Christos Stergiadis, et al.
Published: (2022-09-01) -
EEG-Based Emotion Recognition Using Spatial-Temporal Connectivity
by: Wenhao Chu, et al.
Published: (2023-01-01) -
Emotion Recognition and Dynamic Functional Connectivity Analysis Based on EEG
by: Xucheng Liu, et al.
Published: (2019-01-01) -
DeePay: deep learning decodes EEG to predict consumer’s willingness to pay for neuromarketing
by: Adam Hakim, et al.
Published: (2023-06-01) -
EEG-based functional connectivity analysis of brain abnormalities: A systematic review study
by: Nastaran Khaleghi, et al.
Published: (2024-01-01)