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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/24061Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Datta, S | - |
| dc.contributor.author | Holmberg, JJ | - |
| dc.contributor.author | Antonova, E | - |
| dc.date.accessioned | 2022-02-05T16:11:05Z | - |
| dc.date.available | 2022-02-05T16:11:05Z | - |
| dc.date.issued | 2021-12-05 | - |
| dc.identifier.citation | Datta, S., Holmberg, J.J. and Antonova, E. (2021) 'Electrode Selection and Convolutional Attention Network for Recognition of Silently Spoken Words from EEG Signals', 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 5-7 December, pp. 1-8. doi: 10.1109/SSCI50451.2021.9659960. | en_US |
| dc.identifier.isbn | 978-1-7281-9049-5 | - |
| dc.identifier.isbn | 978-1-7281-9048-8 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24061 | - |
| dc.format.extent | 1 - 8 | - |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
| dc.source | 2021 IEEE Symposium Series on Computational Intelligence (SSCI) | - |
| dc.source | 2021 IEEE Symposium Series on Computational Intelligence (SSCI) | - |
| dc.subject | EEG | en_US |
| dc.subject | brain computer interface | en_US |
| dc.subject | convolutional network | en_US |
| dc.subject | attention | en_US |
| dc.subject | inner speech | en_US |
| dc.subject | silent speech | en_US |
| dc.subject | electrode selection | en_US |
| dc.subject | time-frequency | en_US |
| dc.title | Electrode Selection and Convolutional Attention Network for Recognition of Silently Spoken Words from EEG Signals | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.doi | https://doi.org/10.1109/ssci50451.2021.9659960 | - |
| dc.relation.isPartOf | 2021 IEEE Symposium Series on Computational Intelligence (SSCI) | - |
| pubs.finish-date | 2021-12-07 | - |
| pubs.finish-date | 2021-12-07 | - |
| pubs.publication-status | Published | - |
| pubs.start-date | 2021-12-05 | - |
| pubs.start-date | 2021-12-05 | - |
| Appears in Collections: | Dept of Life Sciences Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | 1.13 MB | Adobe PDF | View/Open |
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