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BCI and Eye Gaze: Collaboration at the Interface

Galway, Leo, Brennan, Chris, McCullagh, Paul and Lightbody, Gaye (2015) BCI and Eye Gaze: Collaboration at the Interface. In: Foundations of Augmented Cognition. (Eds: Schmorrow, D.D. and Fidopiastis, C.M.), Springer International Publishing, pp. 199-210. ISBN 78-3-319-20815-2 [Book section]

[img] Text - Accepted Version
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URL: http://dx.doi.org/10.1007/978-3-319-20816-9_20

DOI: 10.1007/978-3-319-20816-9_20

Abstract

Due to an extensive list of restraints, Brain-Computer Interface (BCI) technology has seen limited success outside of laboratory conditions. In order to address these limitations, which have prevented widespread deployment, an existing modular architecture has been adapted to support hybrid collaboration of commercially available BCI and eye tracking technologies. However, combining multiple input modalities, which have different temporal properties, presents a challenge in terms of data fusion and collaboration at the User Interface. The use of cost-effective and readily available equipment will further promote hybrid BCI as a viable but alternative interface for Human Computer Interaction. In this paper, we focus on navigation through a virtual smart home and control of devices within the rooms; the navigation being controlled by multimodal interaction. As such, it promises a better information transfer rate than BCI alone. Consequently, an extended architecture for a personalised hybrid BCI system has been proposed.

Item Type:Book section
Keywords:Hybrid brain-computer interface; Eye tracking; Domotic control modalities
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:32883
Deposited By: Dr Leo Galway
Deposited On:21 Dec 2015 10:02
Last Modified:17 Oct 2017 16:20

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