most citedEnd-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces

1 citations · 1 across the 1 of their papers we have counts for

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cs.HC2023★ 1 cited

End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces

Maryam Alimardani, Steven Kocken, Nikki Leeuwis

A major issue in Motor Imagery Brain-Computer Interfaces (MI-BCIs) is their poor classification accuracy and the large amount of data that is required for subject-specific calibrat…