Classification of Exoskeleton Conditions using Machine Learning on EEG Signals
Master thesis
- Explore and implement machine learning methods, especially Transformer-based models and hybrid architectures, to classify exoskeleton assistance conditions (PAM pressure levels & subjects scores) using EEG signals.
- Evaluate and optimize the classification performance of various models.
- Investigate the interpretability of trained models to identify significant EEG features corresponding to different exoskeleton conditions.
