Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain-Computer Interfaces

One of the major limitations of brain-computer interfaces (BCI) is their long calibration time, which limits their use in practice, both by patients and healthy users alike. Such long calibration times are due to the large between-user variability and thus to the need to collect numerous training el...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 103; H. 6; S. 871 - 890
1. Verfasser:	Lotte, Fabien
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Band-pass filters Biotechnology Brain-computer interfaces Brain-computer interfaces (BCI) Calibration Computer Science Covariance matrices Electroencephalography electroencephalography (EEG) Machine Learning Signal and Image Processing signal processing Signal processing algorithms small sample settings Spatial filters Statistics Training data electroencephalography (EEG) small sample settings Brain–computer interfaces (BCI) machine learning signal processing calibration ElectroEncephaloGraphy (EEG) Index Terms—Brain-Computer Interfaces (BCI)
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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