3.3. Machine Learning Models

This section explores traditional machine learning models that have been foundational for emotion recognition tasks, particularly with EEG and ECG data. Here, the goal isn’t just to focus on achieving the better performance but to highlight how these models operate in a clear and interpretable way. Simplicity is a key theme, showing that these foundational models, despite being less complex, can still offer powerful insights into sophisticated tasks like emotion recognition.