BCI and Eye Gaze: Collaboration at the Interface

Leo Galway, Chris Brennan, Paul McCullagh, Gaye Lightbody

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)
40 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationFoundations of Augmented Cognition
EditorsD.D. Schmorrow, C.M. Fidopiastis
PublisherSpringer
Pages199-210
Volume9183
ISBN (Print)78-3-319-20815-2
DOIs
Publication statusPublished - 2015

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing

Keywords

  • Hybrid brain-computer interface
  • Eye tracking
  • Domotic control modalities

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  • Cite this

    Galway, L., Brennan, C., McCullagh, P., & Lightbody, G. (2015). BCI and Eye Gaze: Collaboration at the Interface. In D. D. Schmorrow, & C. M. Fidopiastis (Eds.), Foundations of Augmented Cognition (Vol. 9183, pp. 199-210). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-20816-9_20