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T. Apparao

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Open access Sep 2026

Electroencephalograms (EEG) Signal-Based Hand Movements Classification for Human-Brain Interface Using Random Kernel Convolutional Filters

Brain’s electroencephalograms (EEG) signals, which represent human actions, are a crucial stage in human-machine interaction. It is essential to develop user-machine interfaces that are dependable, robust, and affordable. Complex and computationally intensive methods were formerly necessary to accurately classify brain...

T. Apparao, H. Mewada, L. S. Sundar · 0 citations

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