Personalised Affective Classification Through Enhanced EEG Signal Analysis

Background and Objectives Declining mental health is a prominent and concerning issue. Affective classification, which employs machine learning on brain signals captured from electroencephalogram (EEG), is a prevalent approach to address this issue. However, many existing studies have adopted a one-...

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Bibliographic Details
Main Authors: Joseph Barrowclough, Nonso Nnamoko, Ioannis Korkontzelos
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Applied Artificial Intelligence
Online Access:https://www.tandfonline.com/doi/10.1080/08839514.2025.2450568
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