An End-to-End Brain–Computer Interface for Mental Workload Classification Based on EEGNet Model and Data Augmentation

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Authors: Rishabh Kholiya, Mitul Kumar Ahirwal
Cited by: 1
References: 22

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Sleep and Work-Related Fatigue Emotion and Mood Recognition

Publication details

Journal / source
Lecture notes in networks and systems
Publisher
Springer Nature Singapore
Pages
37–47
Publication date
1 January 2026
Language
EN