Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)(2021)

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摘要
Brain-Computer Interfaces (BCI) based on Motor imagery (MI) shown promising results for motor recovery, intraoperative awareness detection or assistive technology control. However, they suffer from several limitations due to the high variability of electroencephalographic (EEG) signals, mainly lengthy and tedious calibration times usually required for each new day of use, and a lack of reliability...
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关键词
Training,Shape,Databases,Transfer learning,Neural engineering,Electroencephalography,Brain-computer interfaces
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