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Steady-state visual evoked potentials and their application to brain-computer interfaces
Norton, James J. S.
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https://hdl.handle.net/2142/99213
Description
- Title
- Steady-state visual evoked potentials and their application to brain-computer interfaces
- Author(s)
- Norton, James J. S.
- Issue Date
- 2017-12-03
- Director of Research (if dissertation) or Advisor (if thesis)
- Bretl, Timothy W.
- Doctoral Committee Chair(s)
- Bretl, Timothy W.
- Committee Member(s)
- Federmeier, Kara
- Beck, Diane
- Do, Minh
- Department of Study
- Neuroscience Program
- Discipline
- Neuroscience
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- Ph.D.
- Degree Level
- Dissertation
- Date of Ingest
- 2018-03-13T15:25:17Z
- Keyword(s)
- BCI, EEG, SSVEP
- Abstract
- This dissertation presents five contributions to the design of steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). First, a new method—based on visual stimulation during sleep—for investigating the neural mechanisms of SSVEPs. Second, a comparison of performance—in terms of accuracy, latency, bitrate, and engagement—between children and adults when using an SSVEP-based BCI. Third, a gel-less epidermal electronic system electrode for use in SSVEP-based BCIs that adheres to the skin through van der Waals forces. Fourth, a potential application for SSVEP-based BCIs in individuals without disabilities. Fifth, an adaptive user interface for SSVEP-based BCI text-entry that nearly doubles the performance of existing systems. Following the description of these contributions, potential directions for future research are also discussed. These contributions each move a step towards the long-term goal of developing SSVEP-based BCIs that are useful outside of the research laboratory for either those with or without disabilities.
- Graduation Semester
- 2017-12
- Type of Resource
- text
- Permalink
- http://hdl.handle.net/2142/99213
- Copyright and License Information
- Copyright 2017 James Norton
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