Introduction
Preface
- P.1 Authors
- P.2 Acknowledgements
1. EEG Basics
2. Affective Computing Basics
3. Deep Learning Basics
4. Problem Formulation
5. Datasets and Benchmarks
6. Preprocessing and Segmentation
7. Features and Representations
8. Deep Learning Models
9. Training and Evaluation
10. Real-Time Affective BCI Engineering
11. Special Topics
12. Future Directions
Appendix
- A.1 Project Harness Template
- A.2 Exploration Harness Template
Published with HonKit

Appendix

Appendix

This appendix contains reusable planning and project-harness templates for EEG affective-computing research.

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