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Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition

Scott Yang Orcid Logo, Sanaul Hoque, Farzin Deravi

IEEE Access, Volume: 7, Pages: 49604 - 49613

Swansea University Author: Scott Yang Orcid Logo

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DOI (Published version): 10.1109/access.2019.2910752

Published in: IEEE Access
ISSN: 2169-3536
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa58933
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first_indexed 2021-12-06T22:10:01Z
last_indexed 2021-12-31T04:28:58Z
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spelling 2021-12-30T16:45:27.8619323 v2 58933 2021-12-06 Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition 81dc663ca0e68c60908d35b1d2ec3a9b 0000-0002-6618-7483 Scott Yang Scott Yang true false 2021-12-06 SCS Journal Article IEEE Access 7 49604 49613 Institute of Electrical and Electronics Engineers (IEEE) 2169-3536 24 4 2019 2019-04-24 10.1109/access.2019.2910752 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2021-12-30T16:45:27.8619323 2021-12-06T22:03:49.3265931 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Scott Yang 0000-0002-6618-7483 1 Sanaul Hoque 2 Farzin Deravi 3 58933__21972__c942f5548101417ebf28905c7aa6fd39.pdf 58933.pdf 2021-12-30T16:44:19.3851122 Output 9105630 application/pdf Version of Record true This work is licensed under a Creative Commons Attribution 3.0 License. true eng http://creativecommons.org/licenses/by/3.0/
title Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition
spellingShingle Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition
Scott Yang
title_short Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition
title_full Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition
title_fullStr Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition
title_full_unstemmed Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition
title_sort Improved Time-Frequency Features and Electrode Placement for EEG-Based Biometric Person Recognition
author_id_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b
author_id_fullname_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b_***_Scott Yang
author Scott Yang
author2 Scott Yang
Sanaul Hoque
Farzin Deravi
format Journal article
container_title IEEE Access
container_volume 7
container_start_page 49604
publishDate 2019
institution Swansea University
issn 2169-3536
doi_str_mv 10.1109/access.2019.2910752
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2019-04-24T04:15:51Z
_version_ 1763754063901491200
score 11.012678

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