Record EEG data from a Muse 2 headband using the MInd Monitor app and python osc module. Build and train a CNN model in Keras framework to classify Left-Right Motor Imagery. Make real-time predictions using the trained model.
Privacy-first macOS BCI prototype: Muse EEG → BrainFlow → Core ML (ANE) → local MLX LLM → SwiftUI carousel. Fully on-device.
EEG-based cognitive state monitoring using signal processing and brainwave analysis. The project processes Muse EEG recordings to estimate three cognitive states: Concentrating, Neutral, and Relaxed, using filtering, Welch PSD, band-power features, and threshold-based decision logic.
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