Fusion Convolutional Neural Network for Cross-Subject EEG Motor Imagery Classification

Brain–computer interfaces (BCIs) can help people with limited motor abilities to interact with their environment without external assistance. A major challenge in electroencephalogram (EEG)-based BCI development and research is the cross-subject classification of motor imagery data. Due to the highl...

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書誌詳細

出版年:	Computers
主要な著者:	Karel Roots, Yar Muhammad, Naveed Muhammad
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2020-09-01
主題:	brain–computer interface (BCI) convolutional neural network (CNN) deep learning electroencephalography (EEG) fusion network motor imagery (MI)
オンライン･アクセス:	https://www.mdpi.com/2073-431X/9/3/72