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Syst."],"published-print":{"date-parts":[[2019,12]]},"abstract":"<jats:p> The performance of a brain\u2013computer interface (BCI) will generally improve by increasing the volume of training data on which it is trained. However, a classifier\u2019s generalization ability is often negatively affected when highly non-stationary data are collected across both sessions and subjects. The aim of this work is to reduce the long calibration time in BCI systems by proposing a transfer learning model which can be used for evaluating unseen single trials for a subject without the need for training session data. A method is proposed which combines a generalization of the previously proposed subject-specific \u201cmultivariate empirical-mode decomposition\u201d preprocessing technique by taking a fixed band of 8\u201330[Formula: see text]Hz for all four motor imagery tasks and a novel classification model which exploits the structure of tangent space features drawn from the Riemannian geometry framework, that is shared among the training data of multiple sessions and subjects. Results demonstrate comparable performance improvement across multiple subjects without subject-specific calibration, when compared with other state-of-the-art techniques. <\/jats:p>","DOI":"10.1142\/s0129065719500254","type":"journal-article","created":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T03:18:41Z","timestamp":1573528721000},"page":"1950025","source":"Crossref","is-referenced-by-count":72,"title":["Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain\u2013Computer Interface"],"prefix":"10.1142","volume":"29","author":[{"given":"Pramod","family":"Gaur","sequence":"first","affiliation":[{"name":"Department of Computer Science & Engineering, The LNM Institute of Information Technology, Jaipur 302031, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"McCreadie","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering, The LNM Institute of Information Technology, Jaipur 302031, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ram Bilas","family":"Pachori","sequence":"additional","affiliation":[{"name":"Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore 453552, Madhya Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"Computer Science Research Institute, Ulster University, Jordanstown Campus, Newtownabbey, Antrim BT37 0QB, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Girijesh","family":"Prasad","sequence":"additional","affiliation":[{"name":"Intelligent Systems Research Centre, Ulster University, Magee Campus, Derry\/Londonderry, BT48 7JL, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,12,17]]},"reference":[{"key":"S0129065719500254BIB001","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065713500135"},{"key":"S0129065719500254BIB002","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065714500142"},{"key":"S0129065719500254BIB003","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065715500112"},{"key":"S0129065719500254BIB004","doi-asserted-by":"publisher","DOI":"10.1177\/1073858414549015"},{"key":"S0129065719500254BIB005","doi-asserted-by":"publisher","DOI":"10.1515\/revneuro-2013-0032"},{"key":"S0129065719500254BIB006","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.bb.02.060173.001105"},{"issue":"2","key":"S0129065719500254BIB007","first-page":"76","volume":"37","author":"Bozinovska L.","year":"1988","journal-title":"Neurologija"},{"key":"S0129065719500254BIB008","first-page":"93","volume-title":"Proc. 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