Multiattention Adaptation Network for Motor Imagery Recognition
| dc.contributor.author | Chen, Peiyin | |
| dc.contributor.author | Gao, Zhongke | |
| dc.contributor.author | Yin, Miaomiao | |
| dc.contributor.author | Wu, Jialing | |
| dc.contributor.author | Mao, Kai | |
| dc.contributor.author | Grebogi, Celso | |
| dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
| dc.contributor.institution | University of Aberdeen.Physics | en |
| dc.date.accessioned | 2022-10-27T23:16:15Z | |
| dc.date.available | 2022-10-27T23:16:15Z | |
| dc.date.embargoedUntil | 2022-10-28 | |
| dc.date.issued | 2022-08-01 | |
| dc.description | This work was supported in part by the National Natural Science Foundation of China under Grants Nos. 61873181 and 61922062 | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 13 | |
| dc.format.extent | 4968485 | |
| dc.identifier | 202605572 | |
| dc.identifier | 4071943f-3e3d-4b4f-bde5-911b823cc082 | |
| dc.identifier | 85118579208 | |
| dc.identifier | 85118579208 | |
| dc.identifier.citation | 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.2021.3114145 | en |
| dc.identifier.doi | 10.1109/TSMC.2021.3114145 | |
| dc.identifier.issn | 2168-2216 | |
| dc.identifier.other | ORCID: /0000-0002-9811-4617/work/107061787 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19441 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85118579208 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Transactions on Systems, Man, and Cybernetics: Systems | en |
| dc.subject | Brain-computer interface (BCI) | en |
| dc.subject | Deep learning | en |
| dc.subject | electroencephalogram (EEG) | en |
| dc.subject | Electroencephalography | en |
| dc.subject | Feature extraction | en |
| dc.subject | motor imagery (MI) | en |
| dc.subject | multiple attentions mechanism | en |
| dc.subject | Signal resolution | en |
| dc.subject | Task analysis | en |
| dc.subject | Training | en |
| dc.subject | transfer learning | en |
| dc.subject | Transfer learning | en |
| dc.subject | QC Physics | en |
| dc.subject | Software | en |
| dc.subject | Control and Systems Engineering | en |
| dc.subject | Human-Computer Interaction | en |
| dc.subject | Computer Science Applications | en |
| dc.subject | Electrical and Electronic Engineering | en |
| dc.subject.lcc | QC | en |
| dc.title | Multiattention Adaptation Network for Motor Imagery Recognition | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Chen_etal_IEEE_Multi_Attention_Adaptation_AAM.pdf
- Size:
- 4.74 MB
- Format:
- Adobe Portable Document Format
