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Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks
Moreover, our proposed TINN showed the highest accuracy of 0. 93 compared to the previous methods for classifying three different types of mental imagery tasks (MI, VI, and SI).
Towards Brain-Computer Interfaces for Drone Swarm Control
Hence, we could confirm the feasibility of the drone swarm control system based on EEG signals for performing high-level tasks.
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