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Retrospective on the First Passive Brain-Computer Interface Competition on Cross-Session Workload Estimation

Raphaëlle N. Roy, Marcel F. Hinss, Ludovic Darmet, Simon Ladouce, Emilie S. Jahanpour, Bertille Somon, Xiaoqi Xu, Nicolas Drougard, Frédéric Dehais, Fabien Lotte
<span title="2022-04-04">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mfryy2rxsvgrvhbfhug3ugns7a" style="color: black;">Frontiers in Neuroergonomics</a> </i> &nbsp;
As is the case in several research domains, data sharing is still scarce in the field of Brain-Computer Interfaces (BCI), and particularly in that of passive BCIs—i.e., systems that enable implicit interaction  ...  Hence, with a view to develop good research practices in this field and to enable the whole community to join forces in working on cross-session estimation, we created the first passive brain-computer  ...  INTRODUCTION Passive Brain-Computer Interfaces (BCIs) can estimate users' states, e.g., their cognitive or affective states, from their brain signals and use these estimations to adapt a human-computer  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnrgo.2022.838342">doi:10.3389/fnrgo.2022.838342</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/44rf6mq3pbbmxk5tdefo4x4egq">fatcat:44rf6mq3pbbmxk5tdefo4x4egq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220405155211/https://fjfsdata01prod.blob.core.windows.net/articles/files/838342/pubmed-zip/.versions/1/.package-entries/fnrgo-03-838342/fnrgo-03-838342.pdf?sv=2018-03-28&amp;sr=b&amp;sig=h72BQORrHBM0DoBsNkEOiv%2BSBajpjsrPVRxlJHQbwhQ%3D&amp;se=2022-04-05T15%3A52%3A39Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fnrgo-03-838342.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/69/61/6961a7e186558091e087479b50af7e23cc7d6215.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnrgo.2022.838342"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

Predict Students' Attention in Online Learning Using EEG Data

Abeer Al-Nafjan, Mashael Aldayel
<span title="2022-05-27">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oglosmy3gbhuzobyjit4qalakq" style="color: black;">Sustainability</a> </i> &nbsp;
In particular, in order to craft an approach that will effectively augment online learning using objective measures of brain activity, we propose a brain–computer interface (BCI) system that aims to use  ...  Moreover, our results compared to state-of-the-art attention-detection systems with respect to the same dataset.  ...  Data Availability Statement: A publicly available dataset was analyzed in this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su14116553">doi:10.3390/su14116553</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6frfrwehkvfu3ov4yjjnu2h7ay">fatcat:6frfrwehkvfu3ov4yjjnu2h7ay</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220610083449/https://mdpi-res.com/d_attachment/sustainability/sustainability-14-06553/article_deploy/sustainability-14-06553.pdf?version=1653639879" 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/5c/1e/5c1e4043bfe4ae0426b38ca62add7564920579e4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/su14116553"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Multi-Parameter Physiological State Monitoring in Target Detection Under Real-World Settings

Yang Chang, Congying He, Bo-Yu Tsai, Li-Wei Ko
<span title="2021-12-22">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
Mental state changes induced by stimuli under experimental settings or by daily events in real life affect task performance and are entwined with physical and mental health.  ...  The proposed indicator is applicable to potential passive and active BCI applications for monitoring the subject's physiological state change in real-time, along with providing a means of evaluating the  ...  Cory Stevenson for editing assistance, and the Information and Communications Research Division, National Chung-Shan Institute of Science and Technology for supporting the research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2021.785562">doi:10.3389/fnhum.2021.785562</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35002658">pmid:35002658</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8727696/">pmcid:PMC8727696</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eyg64uxvjjdt5opuyahe35f6y4">fatcat:eyg64uxvjjdt5opuyahe35f6y4</a> </span>
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Multi-Scale Neural network for EEG Representation Learning in BCI [article]

Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk
<span title="2020-03-02">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To demonstrate the validity of our proposed method, we conducted experiments on various paradigms of active/passive BCI datasets.  ...  Our experimental results demonstrated that the proposed method achieved performance improvements when judged against comparable state-of-the-art methods.  ...  features. • Second, the proposed method achieved positive performance on five different datasets for four differnt paradigms (two for active BCIs and two for passive BCIs).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.02657v1">arXiv:2003.02657v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5y4diyiqd5frxnnrwydzxkgp4e">fatcat:5y4diyiqd5frxnnrwydzxkgp4e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200320152326/https://arxiv.org/pdf/2003.02657v1.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/2003.02657v1" 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>

Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task

Josef Faller, Jennifer Cummings, Sameer Saproo, Paul Sajda
<span title="2019-03-12">2019</span> <i title="Proceedings of the National Academy of Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nvtuoas5pbdsllkntnhizy4f4q" style="color: black;">Proceedings of the National Academy of Sciences of the United States of America</a> </i> &nbsp;
The Yerkes–Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task.  ...  Our work demonstrates a BCI system that uses online neurofeedback to shift arousal state and increase task performance in accordance with the Yerkes–Dodson law.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Government.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1073/pnas.1817207116">doi:10.1073/pnas.1817207116</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30862731">pmid:30862731</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6442591/">pmcid:PMC6442591</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zzw3krcnsjb55fhiyn22akdybm">fatcat:zzw3krcnsjb55fhiyn22akdybm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429102920/https://www.pnas.org/content/pnas/116/13/6482.full.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/1f/13/1f13e220219ae5132a0cee932cb31d8e3158352a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1073/pnas.1817207116"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442591" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain-Computer Interfaces

Fotis P. Kalaganis, Nikos A. Laskaris, Elisavet Chatzilari, Spiros Nikolopoulos, Ioannis Kompatsiaris
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
GAME-LIKE BCI: PASSIVE VS ATTENTIVE TASK We commence by presenting the neurophysiogical findings in the "passive vs attentive" task.  ...  GAME-LIKE BCI: PASSIVE VS ATTENTIVE TASK Six subjects (2 males, 4 females) participated in a pc-gamelike BCI experiment [31] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3021580">doi:10.1109/access.2020.3021580</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pb45skxbtfbadnm3ef7gxq65ke">fatcat:pb45skxbtfbadnm3ef7gxq65ke</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200909041308/https://ieeexplore.ieee.org/ielx7/6287639/6514899/09186097.pdf?tp=&amp;arnumber=9186097&amp;isnumber=6514899&amp;ref=" 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/ea/5b/ea5bb1a6b41a5b1fd308fe9746edc6fd37a4a97f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3021580"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Brain-Computer Interfaces using Machine Learning

Theodoros Papadopoulos, Iraklis Varlamis
<span title="2019-03-01">2019</span> <i title="Zenodo"> Zenodo </i> &nbsp;
This thesis explores machine learning models for the analysis and classification of electroencephalographic (EEG) signals used in Brain-Computer Interface (BCI) systems.  ...  The first module communicates with the MUSE (a low-cost EEG device) to acquire the EEG signals in real time, the second module process those signals using machine learning techniques and trains a learning  ...  The first distinguished between the rest state, where user relaxes without performing any mental task, and another state in which the user performs mental calculus.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.2581620">doi:10.5281/zenodo.2581620</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n65zuruy2feibh2pa24d2ekr2i">fatcat:n65zuruy2feibh2pa24d2ekr2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200307023939/https://zenodo.org/record/2581621/files/PAPADOPOULOS_PMSIT_19.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/41/ee/41ee8bd2b72a2a6fce49de0db834988d3975b474.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.2581620"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Recognition of Consumer Preference by Analysis and Classification EEG Signals

Mashael Aldayel, Mourad Ykhlef, Abeer Al-Nafjan
<span title="2021-01-13">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
The performance of the proposed deep neural network (DNN) outperforms KNN and SVM in accuracy, precision, and recall; however, RF achieved results similar to those of the DNN for the same dataset.  ...  In this study, We examined preference detection of neuromarketing dataset using different feature combinations of EEG indices and different algorithms for feature extraction and classification.  ...  ACKNOWLEDGMENTS The authors would like to thank the deanship of scientific research for funding and supporting this research through the initiative of DSR Graduate Students Research Support (GSR) at King  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2020.604639">doi:10.3389/fnhum.2020.604639</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33519402">pmid:33519402</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7838383/">pmcid:PMC7838383</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wfyyr52hozdrtemkfmoidyc7aq">fatcat:wfyyr52hozdrtemkfmoidyc7aq</a> </span>
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Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces

Nikki Leeuwis, Alissa Paas, Maryam Alimardani
<span title="2021-04-06">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
In this study, we investigated the impact of several cognitive and psychological measures on MI-BCI performance.  ...  Fifty-five novice BCI-users participated in a left- versus right-hand motor imagery task.  ...  Autonomy is known to increase motivation and learning efficiency in general , which leads to the expectation of a positive relationship between autonomy and MI-BCI performance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2021.634748">doi:10.3389/fnhum.2021.634748</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33889080">pmid:33889080</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8055841/">pmcid:PMC8055841</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dqt4h52uyzhndmrumdmibqq4ie">fatcat:dqt4h52uyzhndmrumdmibqq4ie</a> </span>
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Mental State Classification Using Multi-graph Features [article]

Guodong Chen and Hayden S. Helm and Kate Lytvynets and Weiwei Yang and Carey E. Priebe
<span title="2022-02-25">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We consider the problem of extracting features from passive, multi-channel electroencephalogram (EEG) devices for downstream inference tasks related to high-level mental states such as stress and cognitive  ...  We conclude by showing that the importance of particular channels and pairs of channels for classification when using the proposed features is neuroscientifically valid.  ...  Acknowledgements We would like to thank Ben Cutler, Steven Dong, Amber Hoak, Tzyy-Ping Jung, Ben Pedigo, Siddharth Siddharth, and Christopher White for helpful comments and suggestions throughout our investigations  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.00516v1">arXiv:2203.00516v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/txvsywjtafapdpg55erc2mnxgi">fatcat:txvsywjtafapdpg55erc2mnxgi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220530213904/https://arxiv.org/pdf/2203.00516v1.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/4f/bf/4fbfafb3db146e554301b0d1aeda0e8873dbfaa4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.00516v1" 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>

Deep Learning for EEG-Based Preference Classification in Neuromarketing

Mashael ALdayel, Mourad Ykhlef, Abeer Al-Nafjan
<span title="2020-02-24">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
Therefore, in this work, a deep-learning approach is adopted to detect the consumer preferences by using EEG signals from the DEAP dataset by considering the power spectral density and valence features  ...  reaches similar results to deep learning on the same dataset.  ...  Acknowledgments: The authors would like to thank the deanship of scientific research for funding and supporting this research through the initiative of DSR Graduate Students Research Support (GSR) at King  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10041525">doi:10.3390/app10041525</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qciu4lro5fa3vjpdchealg5wd4">fatcat:qciu4lro5fa3vjpdchealg5wd4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200228064924/https://res.mdpi.com/d_attachment/applsci/applsci-10-01525/article_deploy/applsci-10-01525-v2.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/cb/6b/cb6b934d2e592c5d5c48dc0da82afbf176c2d7a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10041525"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Gaussian Process Regression for Predictive But Interpretable Machine Learning Models: An Example of Predicting Mental Workload across Tasks

Matthew S. Caywood, Daniel M. Roberts, Jeffrey B. Colombe, Hal S. Greenwald, Monica Z. Weiland
<span title="2017-01-11">2017</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
There is increasing interest in real-time brain-computer interfaces (BCIs) for the passive monitoring of human cognitive state, including cognitive workload.  ...  In an effort toward more interpretable BCIs, we studied a family of N-back working memory tasks using a machine learning model, Gaussian Process Regression (GPR), which was both powerful and amenable to  ...  ACKNOWLEDGMENTS This research was supported by the MITRE Innovation Program. Approved for public release, distribution unlimited, MITRE case number 15-2950.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2016.00647">doi:10.3389/fnhum.2016.00647</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28123359">pmid:28123359</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5225116/">pmcid:PMC5225116</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/riinwlw7lfhv7d3wzkuf5af5di">fatcat:riinwlw7lfhv7d3wzkuf5af5di</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171006092019/http://publisher-connector.core.ac.uk/resourcesync/data/Frontiers/pdf/253/aHR0cDovL2pvdXJuYWwuZnJvbnRpZXJzaW4ub3JnL2FydGljbGUvMTAuMzM4OS9mbmh1bS4yMDE2LjAwNjQ3L3BkZg%3D%3D.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/19/76/1976cd26df3aa3f3a61f187e465b4a31ce50b06b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2016.00647"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5225116" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </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>
For each paradigm/application, we group the TL approaches into cross-subject/session, cross-device, and cross-task settings and review them separately.  ...  Therefore, it is difficult to build a generic pattern recognition model in an EEG-based BCI system that is optimal for different subjects, during different sessions, for different devices and tasks.  ...  In MI, the resting state is the time window during which the subject is not performing any task, e.g., the transition window between two MI tasks.  ... 
<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>

Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review

Kai Zhang, Guanghua Xu, Xiaowei Zheng, Huanzhong Li, Sicong Zhang, Yunhui Yu, Renghao Liang
<span title="2020-11-05">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
, and summarize the datasets that have been used to evaluate performance.  ...  The results show that TL can significantly improve the performance of decoding models across subjects/sessions and can reduce the calibration time of brain–computer interface (BCI) systems.  ...  Acknowledgments: The authors would like to thank the support by Guangdong Institute of Medical Instruments & National Engineering Research Center for Healthcare Devices.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20216321">doi:10.3390/s20216321</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33167561">pmid:33167561</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rx2smddb4rhnjjzdp43bqdszd4">fatcat:rx2smddb4rhnjjzdp43bqdszd4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201109080134/https://res.mdpi.com/d_attachment/sensors/sensors-20-06321/article_deploy/sensors-20-06321.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/a3/46/a346b43f4e74713ff535b62f0cff4e4a61982d72.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20216321"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Fast mental states decoding in mixed reality

Daniele De Massari, Daniel Pacheco, Rahim Malekshahi, Alberto Betella, Paul F. M. J. Verschure, Niels Birbaumer, Andrea Caria
<span title="2014-11-27">2014</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sx3lvh2nmvah7ilqdbdicsjcku" style="color: black;">Frontiers in Behavioral Neuroscience</a> </i> &nbsp;
and explicit learning using ecological scenarios.  ...  Dynamic single trial classification showed high accuracy of LDA and SVM classifiers in detecting multiple brain states as well as in differentiating between high and low mental workload, using a 5 s time-window  ...  However, to date, clear evidence of classification of brain states during different cognitive tasks for BCI control of virtual and MR environments is still lacking.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnbeh.2014.00415">doi:10.3389/fnbeh.2014.00415</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25505878">pmid:25505878</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4245910/">pmcid:PMC4245910</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/r2ncibm7pvc65lm5sh3ibwlani">fatcat:r2ncibm7pvc65lm5sh3ibwlani</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171006232006/http://publisher-connector.core.ac.uk/resourcesync/data/Frontiers/pdf/6ca/aHR0cDovL2pvdXJuYWwuZnJvbnRpZXJzaW4ub3JnL2FydGljbGUvMTAuMzM4OS9mbmJlaC4yMDE0LjAwNDE1L3BkZg%3D%3D.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/5c/48/5c48b2449895ba0df5f09467945b787e549a42af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnbeh.2014.00415"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245910" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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