Mixed Materials
Source Data Selection for Brain–Computer Interfaces Based on Simple Features
| Τίτλος: | Source Data Selection for Brain–Computer Interfaces Based on Simple Features |
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| Συγγραφείς: | Heskebeck, Frida, Bergeling, Carolina, Bernhardsson, Bo |
| Στοιχεία εκδότη: | Blekinge Tekniska Högskola, Institutionen för matematik och naturvetenskap Lund University Lund University 2026 |
| Τύπος εγγράφου: | Mixed materials |
| Περίληψη: | Carefully selecting the source data is crucial to achieve high performance of transfer learning methods for brain–computer interfaces (BCIs). Especially so in settings where a large amount of source data is available, and finding the optimal source is not computationally feasible. This paper presents a novel method for source selection, the so-called Transfer Performance Predictor (TPP) method. The TPP method is based on computationally simple features, a choice made to enable real-time implementation and reduce calibration time. The presented method outperforms other comparable source selection methods in BCI settings where a large amount of source data is available. By using the TPP method, source selection can be performed quickly with good results for transfer learning performance, which means that the BCI calibration time can be reduced and a new target user can more quickly start using the BCI. |
| Όροι ευρετηρίου: | Brain–computer interface, calibration, cross subject, machine learning, Riemannian geometry, source data selection, transfer learning, Data communication systems, Data reduction, Feature Selection, Geometry, Interfaces (computer), Learning systems, Real time control, Data Selection, Machine-learning, Performance predictor, Source data, Source selection, Transfer performance, Neurosciences, Neurovetenskaper, Computer Sciences, Datavetenskap (datalogi), Article in journal, info:eu-repo/semantics/article, text |
| DOI: | 10.1109.ACCESS.2026.3670905 |
| Σύνδεσμος: | IEEE Access, 2026, 14, s. 36191-36201 |
| Διαθεσιμότητα: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| Σημείωση: | application/pdf English |
| Other Numbers: | UPE oai:DiVA.org:bth-29271 0000-0002-8660-0263 doi:10.1109/ACCESS.2026.3670905 ISI:001711095900004 Scopus 2-s2.0-105032130187 1581976248 |
| Πηγή συνεισφοράς: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| Αριθμός Καταχώρησης: | edsoai.on1581976248 |
| Βάση Δεδομένων: | OAIster |
| DOI: | 10.1109.ACCESS.2026.3670905 |
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