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Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach

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Main Authors: Al-Shargie, Fares, Tang, Tong Boon, Badruddin, Nasreen, Kiguchi, Masashi
Format: Article
Published: Springer 2018
Online Access:http://scholars.utp.edu.my/id/eprint/36526/
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spelling oai:scholars.utp.edu.my:365262023-06-19T03:15:02Z http://scholars.utp.edu.my/id/eprint/36526/ Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach Al-Shargie, Fares Tang, Tong Boon Badruddin, Nasreen Kiguchi, Masashi Springer 2018 Article NonPeerReviewed Al-Shargie, Fares and Tang, Tong Boon and Badruddin, Nasreen and Kiguchi, Masashi (2018) Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach. Medical & biological engineering & computing, 56. pp. 125-136.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Al-Shargie, Fares
Tang, Tong Boon
Badruddin, Nasreen
Kiguchi, Masashi
spellingShingle Al-Shargie, Fares
Tang, Tong Boon
Badruddin, Nasreen
Kiguchi, Masashi
Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
author_facet Al-Shargie, Fares
Tang, Tong Boon
Badruddin, Nasreen
Kiguchi, Masashi
author_sort Al-Shargie, Fares
title Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
title_short Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
title_full Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
title_fullStr Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
title_full_unstemmed Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach
title_sort towards multilevel mental stress assessment using svm with ecoc: an eeg approach
publisher Springer
publishDate 2018
url http://scholars.utp.edu.my/id/eprint/36526/
_version_ 1769845518834335744
score 13.222552

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