On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Journal Article
- Citation:
- IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, PP, (99), pp. 1-13
- Issue Date:
- 2020
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
08737004.pdf | Accepted version | 2.37 MB | Adobe PDF |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Gupta, A | |
dc.contributor.author | Agrawal, RK | |
dc.contributor.author | Kirar, JS | |
dc.contributor.author | Andreu-Perez, J | |
dc.contributor.author | Ding, W-P | |
dc.contributor.author | Lin, C-T | |
dc.contributor.author |
Prasad, M https://orcid.org/0000-0001-9719-2253 |
|
dc.date.accessioned | 2020-11-23T01:28:54Z | |
dc.date.available | 2020-11-23T01:28:54Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, PP, (99), pp. 1-13 | |
dc.identifier.issn | 2168-2216 | |
dc.identifier.issn | 2168-2232 | |
dc.identifier.uri | http://hdl.handle.net/10453/144238 | |
dc.language | en | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | IEEE Transactions on Systems, Man, and Cybernetics: Systems | |
dc.relation.isbasedon | 10.1109/tsmc.2019.2917599 | |
dc.rights | © 2020 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. | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | 08 Information and Computing Sciences, 09 Engineering | |
dc.subject.classification | Artificial Intelligence & Image Processing | |
dc.title | On the Utility of Power Spectral Techniques With Feature Selection Techniques for Effective Mental Task Classification in Noninvasive BCI | |
dc.type | Journal Article | |
utslib.citation.volume | PP | |
utslib.for | 08 Information and Computing Sciences | |
utslib.for | 09 Engineering | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology | |
pubs.organisational-group | /University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science | |
pubs.organisational-group | /University of Technology Sydney | |
utslib.copyright.status | closed_access | * |
pubs.consider-herdc | true | |
dc.date.updated | 2020-11-23T01:28:47Z | |
pubs.issue | 99 | |
pubs.publication-status | Published | |
pubs.volume | PP | |
utslib.citation.issue | 99 |
Please use this identifier to cite or link to this item:
Download statistics for the last 12 months
Not enough data to produce graph