Visual categorization of brain computer interface technologies

Navarro, KF; Lawrence, E; Martin, D

Visual categorization of brain computer interface technologies

Navarro, KF Lawrence, E Martin, D

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Publication Type:: Journal Article
Citation:: WSEAS Transactions on Information Science and Applications, 2005, 2 (8), pp. 1184 - 1188
Issue Date:: 2005-08-01

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Field	Value	Language
dc.contributor.author	Navarro, KF	en_US
dc.contributor.author	Lawrence, E	en_US
dc.contributor.author	Martin, D	en_US
dc.date.issued	2005-08-01	en_US
dc.identifier.citation	WSEAS Transactions on Information Science and Applications, 2005, 2 (8), pp. 1184 - 1188	en_US
dc.identifier.issn	1790-0832	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5753
dc.description.abstract	The multidisciplinary nature of Brain Computer Interfaces technologies demands scientists and researchers in the area to develop a homogeneous framework and classification of the existent BCI technologies in order to identify, facilitate and accelerate the natural incorporation of the state-of-the-art techniques from the different areas of knowledge. The researchers discuss an extensive literature review and classification of BCI technologies based on Wolpaw's architecture. The paper utilizes data visualization tools in an effort to improve the understanding, trends and relationships of the current work in the area and actively contribute to the visualization of a suitable homogeneous framework for BCI technologies. The researchers also discuss the future applicability of Bluetooth and Wireless Sensor Networks to BCI research.	en_US
dc.relation.ispartof	WSEAS Transactions on Information Science and Applications	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Visual categorization of brain computer interface technologies	en_US
dc.type	Journal Article
utslib.citation.volume	8	en_US
utslib.citation.volume	2	en_US
utslib.for	080599 Distributed Computing not elsewhere classified	en_US
utslib.for	080503 Networking and Communications	en_US
utslib.for	080502 Mobile Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Medical and Molecular Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.issue	8	en_US
pubs.publication-status	Published	en_US
pubs.volume	2	en_US

Abstract:

The multidisciplinary nature of Brain Computer Interfaces technologies demands scientists and researchers in the area to develop a homogeneous framework and classification of the existent BCI technologies in order to identify, facilitate and accelerate the natural incorporation of the state-of-the-art techniques from the different areas of knowledge. The researchers discuss an extensive literature review and classification of BCI technologies based on Wolpaw's architecture. The paper utilizes data visualization tools in an effort to improve the understanding, trends and relationships of the current work in the area and actively contribute to the visualization of a suitable homogeneous framework for BCI technologies. The researchers also discuss the future applicability of Bluetooth and Wireless Sensor Networks to BCI research.

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http://hdl.handle.net/10453/5753