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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 (author)

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
  • https://lup.lub.lu.se/record/de71d9e1-3dfb-46d2-b54f-61abe48a8d2dURI

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  • Language:English
  • 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 (author)
  • Institutionen för reglerteknikInstitutioner vid LTH (creator_code:org_t)

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