this projects contains set of codes that will process the raw audio data for dataset creation and build MLP and CCN models forreal-time voice recognition with 4 classes. at last we implemented this model on a simple game
Neural control framework for drones using motor imagery EEG classification. Achieves 73% cross-subject accuracy with PyTorch and enables hands-free drone control through imagined hand/feet movements.
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