دورية أكاديمية
Multiattention Adaptation Network for Motor Imagery Recognition
| العنوان: | Multiattention Adaptation Network for Motor Imagery Recognition |
|---|---|
| المؤلفون: | Chen, Peiyin, Gao, Zhongke, Yin, Miaomiao, Wu, Jialing, Mao, Kai, Grebogi, Celso |
| المساهمون: | University of Aberdeen.Environment and Food Security, University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB), University of Aberdeen.Physics |
| سنة النشر: | 2022 |
| المجموعة: | Aberdeen University Research Archive (AURA) |
| مصطلحات موضوعية: | Brain-computer interface (BCI), Deep learning, electroencephalogram (EEG), Electroencephalography, Feature extraction, motor imagery (MI), multiple attentions mechanism, Signal resolution, Task analysis, Training, transfer learning, QC Physics, Software, Control and Systems Engineering, Human-Computer Interaction, Computer Science Applications, Electrical and Electronic Engineering, QC |
| الوصف: | This work was supported in part by the National Natural Science Foundation of China under Grants Nos. 61873181 and 61922062 ; Peer reviewed |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2168-2216 |
| العلاقة: | IEEE Transactions on Systems, Man, and Cybernetics: Systems; 202605572; 4071943f-3e3d-4b4f-bde5-911b823cc082; 85118579208; Chen , P , Gao , Z , Yin , M , Wu , J , Mao , K & Grebogi , C 2022 , ' Multiattention Adaptation Network for Motor Imagery Recognition ' , IEEE Transactions on Systems, Man, and Cybernetics: Systems , vol. 52 , no. 8 , 5127 - 5139 . https://doi.org/10.1109/TSMC.2021.3114145Test; ORCID: /0000-0002-9811-4617/work/107061787; https://hdl.handle.net/2164/19441Test; http://www.scopus.com/inward/record.url?scp=85118579208&partnerID=8YFLogxKTest |
| DOI: | 10.1109/TSMC.2021.3114145 |
| الإتاحة: | https://doi.org/10.1109/TSMC.2021.3114145Test https://hdl.handle.net/2164/19441Test http://www.scopus.com/inward/record.url?scp=85118579208&partnerID=8YFLogxKTest |
| رقم الانضمام: | edsbas.807E6B25 |
| قاعدة البيانات: | BASE |
| تدمد: | 21682216 |
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| DOI: | 10.1109/TSMC.2021.3114145 |