Visual categorization of brain computer interface technologies
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Applicability of social weight theory to brain computer interfaces
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
Macroscopic sensor networks: Application issues in healthcare
Journal of Computational Methods in Sciences and Engineering - Selected papers from the International Conference on Computer Science, Software Engineering, Information Technology, e-Business, and Applications, 2004
Adaptive personalisation for researcher-independent brain body interface usage
CHI '09 Extended Abstracts on Human Factors in Computing Systems
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After Pierre Gloor and Hans Berger discovered thehuman electroencephalogram or EEG produced in thebrain in 1969, Brain Computer Interfaces (BCIs) becamea reality. However, for more than a couple of decades,besides the common social fascination with such devices,they have not yet been considered as a feasible alternativeinterface for common daily activities. This is attributed toissues such as response time, costs and long initial usertraining periods. This paper defines and outlines thecurrent BCI technologies and reviews the current statusof BCIs in the context of wearable computers. The use ofAugmented Reality environments and the integration ofwireless technologies such as Bluetooth are proposed aspotential catalysts in the process of incorporating BCIsinto daily life.