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An Adaptive Approac...
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Heskebeck, FridaLund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH
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An Adaptive Approach for Task-Driven BCI Calibration
- Article/chapterEnglish2021
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2021
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LIBRIS-ID:oai:lup.lub.lu.se:de71d9e1-3dfb-46d2-b54f-61abe48a8d2d
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https://lup.lub.lu.se/record/de71d9e1-3dfb-46d2-b54f-61abe48a8d2dURI
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Language:English
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Summary in:English
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One of the most significant obstacles for the everyday use of systems based on BrainComputer Interfaces (BCIs) is the tediousness of calibration. Successful improvements on calibration, particularly the time needed and the userexperience, have been made with, e.g., transfer learning, gamification, and task estimation [1, 2, 3]. Inthis work, we present an adaptive approach to BCI systems’ calibration with a model that evaluates if more calibration is needed. We inspect the model in its simplest form to showcase its versatility.
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Bergeling, CarolinaLund University,Lunds universitet,Institutionen för reglerteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Automatic Control,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)cont-clt
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Institutionen för reglerteknikInstitutioner vid LTH
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