EEG-Based Motor Movement Classification
Signal processing and deep neural networks to classify fine motor movements from EEG; 62% accuracy and 2nd place in the Neuroscience Track.
- When
- Jan 2026
- Where
- Rice Datathon 2026, Neuroscience Track
- Tools
- Python
- Signal processing
- Deep neural networks
Developed an EEG-based machine learning system to classify fine motor movements using signal processing and deep neural networks, achieving 62% accuracy and earning 2nd place in the Rice Datathon 2026 Neuroscience Track.