Dynamic Joint Domain Adaptation Network for Motor Imagery Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2021.3059166
Abstract: Electroencephalogram (EEG) has been widely used in brain computer interface (BCI) due to its convenience and reliability. The EEG-based BCI applications are majorly limited by the time-consuming calibration procedure for discriminative feature representation and classification.… read more here.
Keywords: domain adaptation; adaptation network; joint domain; dynamic joint ... See more keywords
Multiattention Adaptation Network for Motor Imagery Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3114145
Abstract: Brain–computer interface (BCI) based on motor imagery electroencephalogram (EEG) has been widely used in various applications. Despite the previous efforts, the remained major challenges are effective feature extraction and the time-consuming calibration procedure. To address… read more here.
Keywords: network; brain; multiattention; multiattention adaptation ... See more keywords