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cs.HC2026
Fusion of Spatio-Temporal and Multi-Scale Frequency Features for Dry Electrodes MI-EEG Decoding
Tianyi Gong, Can Han, Junxi Wu +1
Dry-electrode Motor Imagery Electroencephalography (MI-EEG) enables fast, comfortable, real-world Brain Computer Interface by eliminating gels and shortening setup for at-home and…
cs.HC2024★ 3 cited
A Spatial-Spectral and Temporal Dual Prototype Network for Motor Imagery Brain-Computer Interface
Can Han, Chen Liu, Yaqi Wang +3
Motor imagery electroencephalogram (MI-EEG) decoding plays a crucial role in developing motor imagery brain-computer interfaces (MI-BCIs). However, decoding intentions from MI rema…