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The BCI as a pervasive technology: a research plan

Published: 20 May 2014 Publication History

Abstract

In this work we explore whether the Brain-Computer Interface (BCI) can become a pervasive technology. The primary goal of BCI technology has been to provide communication and control for people with severe neural dysfunction, which affects their ability to interact with the environment. BCI research has focused largely on noninvasive, electroencephalography (EEG) based BCI methods. A number of EEG consumer grade devices are now available; the Emotiv EPOC neuroheadset is one such device. This paper investigates the utility, performance and usability of this device in an office setting by using EEG correlates of bio-signals for control. The results suggest that it is possible for some users to achieve reasonable control with only minutes of training. However sustaining engagement over a longer duration and widespread use provide suitable areas for further investigation. As a contribution to the Doctoral Colloquium the paper provides an account of intended contributions of this BCI research, the plan of study necessary to achieve this goal, and enumerates the major research questions to be addressed in the next two years. The longer-term aim is to deploy BCI as a Pervasive technology.

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  • (2020)Analyzing Cybersecurity Understanding Using a Brain Computer InterfaceHCI for Cybersecurity, Privacy and Trust10.1007/978-3-030-50309-3_7(92-104)Online publication date: 19-Jul-2020

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PervasiveHealth '14: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
May 2014
459 pages
ISBN:9781631900112

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ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering)

Brussels, Belgium

Publication History

Published: 20 May 2014

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Author Tags

  1. augmentation
  2. brain-computer interface (BCI)
  3. communication
  4. electroencephalography (EEG)
  5. electrooculography (EOG)
  6. emotiv EPOC
  7. pervasive

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PervasiveHealth '14

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Overall Acceptance Rate 55 of 116 submissions, 47%

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  • (2020)Analyzing Cybersecurity Understanding Using a Brain Computer InterfaceHCI for Cybersecurity, Privacy and Trust10.1007/978-3-030-50309-3_7(92-104)Online publication date: 19-Jul-2020

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