Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach
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2021
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oai:scholars.utp.edu.my:364862023-06-19T02:55:57Z http://scholars.utp.edu.my/id/eprint/36486/ Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach Lim, Lam Ghai Ung, Wei Chun Chan, Yee Ling Lu, Cheng-Kai Funane, Tsukasa Kiguchi, Masashi Tang, Tong Boon IEEE 2021 Article NonPeerReviewed Lim, Lam Ghai and Ung, Wei Chun and Chan, Yee Ling and Lu, Cheng-Kai and Funane, Tsukasa and Kiguchi, Masashi and Tang, Tong Boon (2021) Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29. pp. 597-606. |
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Lim, Lam Ghai Ung, Wei Chun Chan, Yee Ling Lu, Cheng-Kai Funane, Tsukasa Kiguchi, Masashi Tang, Tong Boon |
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Lim, Lam Ghai Ung, Wei Chun Chan, Yee Ling Lu, Cheng-Kai Funane, Tsukasa Kiguchi, Masashi Tang, Tong Boon Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach |
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Lim, Lam Ghai Ung, Wei Chun Chan, Yee Ling Lu, Cheng-Kai Funane, Tsukasa Kiguchi, Masashi Tang, Tong Boon |
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Lim, Lam Ghai |
title |
Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach |
title_short |
Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach |
title_full |
Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach |
title_fullStr |
Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach |
title_full_unstemmed |
Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach |
title_sort |
optimizing mental workload estimation by detecting baseline state using vector phase analysis approach |
publisher |
IEEE |
publishDate |
2021 |
url |
http://scholars.utp.edu.my/id/eprint/36486/ |
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1769845513038856192 |