Inter Subject Emotion Recognition Using Spatio-Temporal Features From EEG Signal

• Published in: arXiv.org
• Main Authors: Asif, Mohammad, Srivastava, Diya, Gupta, Aditya, Uma Shanker Tiwary
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.05.2023
• Subjects: Affective computing; Computer Science - Human-Computer Interaction; Computer Science - Learning; Datasets; Electroencephalography; Emotion recognition; Emotions; Model accuracy
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2305.19379

Inter-subject or subject-independent emotion recognition has been a challenging task in affective computing. This work is about an easy-to-implement emotion recognition model that classifies emotions from EEG signals subject independently. It is based on the famous EEGNet architecture, which is used...