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Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)

Dongrui Wu, Vernon J. Lawhern, Stephen Gordon, Brent J. Lance, Chin-Teng Lin
<span title="">2017</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7dwepyc5xbc47narcaqganu4vu" style="color: black;">IEEE transactions on fuzzy systems</a> </i> &nbsp;
This paper considers an important regression problem in BCI, namely, online driver drowsiness estimation from EEG signals.  ...  By integrating fuzzy sets with domain adaptation, we propose a novel online weighted adaptation regularization for regression (OwARR) algorithm to reduce the amount of subject-specific calibration data  ...  In this paper, by making use of fuzzy sets (FSs) [67] , we extend our earlier work on online weighted adaptation regularization [60] from classification to regression to estimate driver drowsiness online  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tfuzz.2016.2633379">doi:10.1109/tfuzz.2016.2633379</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/atlmoi4j7zcwzickszufdl2ytm">fatcat:atlmoi4j7zcwzickszufdl2ytm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720210929/https://opus.lib.uts.edu.au/bitstream/10453/113469/4/07762132.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/43/7f/437f4ae8db7079665257116fba9e22a625b8bd89.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tfuzz.2016.2633379"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016 [article]

Dongrui Wu and Yifan Xu and Bao-Liang Lu
<span title="2020-07-03">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
A brain-computer interface (BCI) enables a user to communicate with a computer directly using brain signals.  ...  Transfer learning (TL), which utilizes data or knowledge from similar or relevant subjects/sessions/devices/tasks to facilitate learning for a new subject/session/device/task, is frequently used to reduce  ...  [40] proposed a novel online weighted adaptation regularization for regression (OwARR) algorithm to reduce the amount of subject-specific calibration data in EEG-based driver drowsiness estimation and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.06286v4">arXiv:2004.06286v4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e32dqag5pvha7mzabrwead2hni">fatcat:e32dqag5pvha7mzabrwead2hni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200713195317/https://arxiv.org/pdf/2004.06286v4.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2004.06286v4" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games [article]

Daniel Leite, Volnei Frigeri Jr., Rodrigo Medeiros
<span title="2021-03-05">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We extract features from the Fourier spectrum of EEG data.  ...  We describe an evolving Gaussian Fuzzy Classifier (eGFC), which is supported by an online semi-supervised learning algorithm to recognize emotion patterns from electroencephalogram (EEG) data streams.  ...  ACKNOWLEDGEMENT This work received support from the Serrapilheira Institute (Serra -1812-26777).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.03488v1">arXiv:2103.03488v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ufmmbaebbve7dex7um752bahwa">fatcat:ufmmbaebbve7dex7um752bahwa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210324042155/https://arxiv.org/pdf/2103.03488v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9e/de/9ede77db32f945bde9ed6d1563c8fef9493e748e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.03488v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications [article]

Xiaotong Gu, Zehong Cao, Alireza Jolfaei, Peng Xu, Dongrui Wu, Tzyy-Ping Jung, Chin-Teng Lin
<span title="2020-01-28">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Then, we present advanced signal sensing and enhancement technologies to collect and clean EEG signals, respectively.  ...  In this study, we survey the recent literature of EEG signal sensing technologies and computational intelligence approaches in BCI applications, compensated for the gaps in the systematic summary of the  ...  ACKNOWLEDGMENT Credit authors for icons made from www.flaticon.com.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.11337v1">arXiv:2001.11337v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cmurfjykjja3rdifr7e7cqq3wy">fatcat:cmurfjykjja3rdifr7e7cqq3wy</a> </span>
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