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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on human-machine systems Vol. 47; no. 4; pp. 550 - 563
Main Author:	Wu, Dongrui
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!