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 Copy

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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