{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:32:16Z","timestamp":1775230336509,"version":"3.50.1"},"reference-count":84,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. IEEE"],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1109\/jproc.2015.2404941","type":"journal-article","created":{"date-parts":[[2015,5,18]],"date-time":"2015-05-18T18:31:19Z","timestamp":1431973879000},"page":"871-890","source":"Crossref","is-referenced-by-count":281,"title":["Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain\u2013Computer Interfaces"],"prefix":"10.1109","volume":"103","author":[{"given":"Fabien","family":"Lotte","sequence":"first","affiliation":[]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0076214"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2014.08.789"},{"key":"ref71","first-page":"98","article-title":"Design and validation of a mental and social stress induction protocol: Towards load-invariant physiology-based detection","author":"jeunet","year":"0","journal-title":"Proc PhyCS"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/3\/3\/003"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2026181"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2006.883649"},{"key":"ref74","article-title":"Single-trial analysis and classification of ERP components&#x2014;A tutorial","author":"blankertz","year":"2010","journal-title":"NeuroImage"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/217987"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2012.00039"},{"key":"ref38","first-page":"17","article-title":"Multitask learning for brain-computer interfaces","author":"alamgir","year":"0","journal-title":"Proc 13th Int Conf Artificial Intell Statistics (AISTATS 2010)"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.919125"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2084099"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495183"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/S0047-259X(03)00096-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.923152"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/5.939829"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2009.2022557"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2082540"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/8\/2\/025012"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2009.06.003"},{"key":"ref62","first-page":"1181","article-title":"Dynamical ensemble learning with model-friendly classifiers for domain adaptation","author":"tu","year":"0","journal-title":"Proc IEEE ICPR"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.03.061"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.400"},{"key":"ref28","article-title":"Review of the use of electroencephalography as an evaluation method for human-computer interaction","author":"frey","year":"0","journal-title":"Proc PhyCS"},{"key":"ref64","first-page":"10","article-title":"Synthetic on-line handwriting generation by distortions and analogy","author":"mouch\u00e8re","year":"0","journal-title":"Proc IGS"},{"key":"ref27","first-page":"114","article-title":"EEG-based workload estimation across affective contexts","volume":"8","author":"m\u00fchl","year":"2014","journal-title":"Front Neurosci Sec Neuroprosthetics"},{"key":"ref65","first-page":"176","article-title":"Generating artificial EEG signals to reduce BCI calibration time","author":"lotte","year":"0","journal-title":"Proc 5th Int Brain-Computer Interface Conf"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_49"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.4408441"},{"key":"ref67","author":"smith","year":"2002","journal-title":"Tutorial on Principal Components Analysis"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2172210"},{"key":"ref69","article-title":"A new generation of brain-computer interface based on Riemannian geometry","author":"congedo","year":"2013","journal-title":"arXiv preprint arXiv 1310 8115"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2004.834627"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195388855.001.0001"},{"key":"ref20","first-page":"366","article-title":"Minimizing calibration time for brain reading","author":"metzen","year":"2011","journal-title":"Pattern Recognition"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0051077"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2008.01.030"},{"key":"ref24","first-page":"1","article-title":"Pattern rejection strategies for the design of self-paced EEG-based brain-computer interfaces","author":"lotte","year":"0","journal-title":"Proc Int Conf Pattern Recognition (ICPR)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/2007\/79826"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5626\/JCSE.2013.7.2.139"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/ana.23879"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-012-0298-2"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5039-1"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0002967"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2011.6091139"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-13-158"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/IEMBS.2009.5334126"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2082539"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/978-3-642-22095-1_55","article-title":"Calibration time reduction through source imaging in brain computer interface (BCI)","author":"ahn","year":"2011","journal-title":"HCI International 2011 - Posters? Extended Abstracts"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.2009768"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/NER.2013.6695959"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/4\/2\/R01"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2007.01.051"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.05.012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jphysparis.2011.08.003"},{"key":"ref13","author":"elshout","year":"2009","journal-title":"Review of Brain-computer Interfaces Based on the P300 Evoked Potential"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fneng.2012.00014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0033758"},{"key":"ref82","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1016\/j.clinph.2006.10.019","article-title":"EMG and EOG artifacts in brain computer interface systems: A survey","volume":"118","author":"fatourechi","year":"2007","journal-title":"Clin Neurophysiol"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/11\/3\/035005"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.69"},{"key":"ref17","article-title":"Boosting-based subject-independent brain computer interface","author":"lu","year":"0","journal-title":"Proc ICPR"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2013.00568"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1109\/TNSRE.2009.2015197","article-title":"Unsupervised brain computer interface based on inter-subject information and online adaptation","volume":"17","author":"lu","year":"2009","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00089"},{"key":"ref19","article-title":"An efficient P300-based brain-computer interface with minimal calibration time","author":"lotte","year":"0","journal-title":"Proc Assistive Machine Learning for People With Disabilities Symp (NIPS'09)"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1002\/ima.20283"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2008.432"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/0013-4694(91)90040-B"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.entcom.2009.09.007"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2008.410"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2012.107"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/8\/2\/025005"},{"key":"ref49","article-title":"Improved semi-supervised adaptation for small training data set in brain-computer interface","volume":"18","author":"meng","year":"2014","journal-title":"IEEE J Biomed Health Inform"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2010.00198"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2093133"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2014.100"},{"key":"ref48","author":"zhu","year":"2005","journal-title":"Semi-supervised learning literature survey"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/3\/1\/R02"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.10.024"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2013.2290621"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2014.6945117"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2013.6610823"}],"container-title":["Proceedings of the IEEE"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5\/7115196\/07109822.pdf?arnumber=7109822","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:02:21Z","timestamp":1642003341000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7109822\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":84,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jproc.2015.2404941","relation":{},"ISSN":["0018-9219","1558-2256"],"issn-type":[{"value":"0018-9219","type":"print"},{"value":"1558-2256","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6]]}}}