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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Veröffentlicht in:	IEEE transactions on human-machine systems Jg. 47; H. 4; S. 550 - 563
1. Verfasser:	Wu, Dongrui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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