Online and Offline Domain Adaptation for Reducing BCI Calibration Effort

Many real-world brain-computer interface (BCI) applications rely on single-trial classification of event-related potentials (ERPs) in EEG signals. However, because different subjects have different neural responses to even the same stimulus, it is very difficult to build a generic ERP classifier who...

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Vydané v:	IEEE transactions on human-machine systems Ročník 47; číslo 4; s. 550 - 563
Hlavný autor:	Wu, Dongrui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptation Algorithms Brain Brain models Brain–computer interface (BCI) Calibration Classifiers Cost engineering Data models domain adaptation (DA) Earphones EEG Electroencephalography event-related potential (ERP) Headphones Indexing Real time Regularization transfer learning Visualization
ISSN:	2168-2291, 2168-2305
On-line prístup:	Získať plný text
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