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Unsupervised adaptive GMM for BCI

Hasan, BAS and Gan, JQ (2009) Unsupervised adaptive GMM for BCI. In: UNSPECIFIED, ? - ?.

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Abstract

An unsupervised adaptive Gaussian mixture model is introduced for online brain-computer interfaces (BCI). The method is tested on two BCI data sets, demonstrating significant performance improvement in comparison with a static model. ©2009 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 13 Dec 2012 16:43
Last Modified: 23 Jan 2019 00:15
URI: http://repository.essex.ac.uk/id/eprint/4145

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