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Characterizing Control of Brain–Computer Interfaces with BioGauges

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Book cover Towards Practical Brain-Computer Interfaces

Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

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Abstract

Brain–computer interfaces (BCIs) measure small changes in brain signals or properties to provide alternative paths for controlling computers and other devices and for better understanding of human mental states. Although device-control has primarily been used for novel assistive technology (AT), BCIs have also been explored for use with able-bodied individuals in organizational settings. The substantial progress of research and development of these interfaces in recent years has produced a variety of techniques for brain imaging and signal interpretation. As a result, it has been difficult to objectively compare user performance with different BCIs to determine the most effective choice for an individual. This chapter reviews some of the challenges and issues in choosing the right BCI or other novel AT for each user. It presents the BioGauges method and toolset which provide a mechanism to fully characterize the outputs of a user operating a BCI to determine the range, reliability, and granularity of control possible.

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Acknowledgements

We would like to thank Dr. Brendan Allison for his shared expertise on characterizing control of BCIs and his encouragement of this chapter. We would also like to thank our research sponsor, the National Science Foundation, CISE/IIS for their support on this project. Lastly, we would like to thank members of the GSU/GT BrainLab for their expertise in implementing the BioGauges toolset.

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Authors and Affiliations

  1. Information Systems, Kennesaw State University, Kennesaw, GA, 30144, USA

    Adriane B. Randolph

  2. Georgia Institute of Technology, College of Computing, Atlanta, GA, 30332, USA

    Melody M. Moore Jackson

  3. Left Coast Biometrics Ltd., 4871 Sophia Street, Vancouver, BC, Canada, V5V 3W5

    Steven G. Mason

Authors
  1. Adriane B. Randolph
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  2. Melody M. Moore Jackson
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  3. Steven G. Mason
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Corresponding author

Correspondence to Adriane B. Randolph .

Editor information

Editors and Affiliations

  1. Baltimore Drive 5700Apt 167, La Mesa, 91942, California, USA

    Brendan Z. Allison

  2. Starlab Neuroscience Research, Teodor Roviralta 45, Barcelona, 08022, Spain

    Stephen Dunne

  3. , School of Engineering, Swiss Federal Institute of Technology, EPFL STI-CNBI, ELB 141, Station 11, Lausanne, 1015, Switzerland

    Robert Leeb

  4. , School of Engineering, Swiss Federal Institute of Technology, EPFL STI-CNBI, ELB 138. Station 11, Lausanne, 1015, Switzerland

    José Del R. Millán

  5. , Faculty EEMCS, University of Twente, Enschede, 7500, Netherlands

    Anton Nijholt

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Randolph, A.B., Jackson, M.M.M., Mason, S.G. (2012). Characterizing Control of Brain–Computer Interfaces with BioGauges. In: Allison, B., Dunne, S., Leeb, R., Del R. Millán, J., Nijholt, A. (eds) Towards Practical Brain-Computer Interfaces. Biological and Medical Physics, Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29746-5_20

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  • DOI: https://doi.org/10.1007/978-3-642-29746-5_20

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  • Publisher Name: Springer, Berlin, Heidelberg

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  • Online ISBN: 978-3-642-29746-5

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