Fine-tuning a DNN with three short daily sessions kept motor-imagery robot control near 75% validation accuracy over three days for four users, with 62% average real-world command accuracy.
Plug-and-play control of a brain–computer interface through neural map stabilization,
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Motor Imagery Teleoperation of a Mobile Robot Using a Low-Cost Brain-Computer Interface for Multi-Day Validation
Fine-tuning a DNN with three short daily sessions kept motor-imagery robot control near 75% validation accuracy over three days for four users, with 62% average real-world command accuracy.