Steady-state visual evoked potentials and their application to brain-computer interfaces

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Neuroscience

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2018

Author dc:creator

• Norton, James J. S.

Contributors dc:contributor

• Bretl, Timothy W.
• Federmeier, Kara
• Beck, Diane
• Do, Minh

• BCI, EEG, SSVEP

Statement dc:rights

• Copyright 2017 James Norton

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/99213

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F99213