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          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01</dc:description>
          <dc:description>The student, James Norton, accepted the attached license on 2017-11-29 at 19:49.</dc:description>
          <dc:description>The student, James Norton, submitted this Dissertation for approval on 2017-11-30 at 14:41.</dc:description>
          <dc:description>This Dissertation was approved for publication on 2017-12-03 at 11:44.</dc:description>
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          <dc:contributor>Bretl, Timothy W.</dc:contributor>
          <dc:contributor>Bretl, Timothy W.</dc:contributor>
          <dc:contributor>Federmeier, Kara</dc:contributor>
          <dc:contributor>Beck, Diane</dc:contributor>
          <dc:contributor>Do, Minh</dc:contributor>
          <dc:creator>Norton, James J. S.</dc:creator>
          <dc:date>2018-03-13T15:25:17Z</dc:date>
          <dc:date>2018-03-13T15:25:17Z</dc:date>
          <dc:date>2020-03-14T09:15:12Z</dc:date>
          <dc:date>2017-12-03</dc:date>
          <dc:date>2017-12</dc:date>
          <dc:description>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.</dc:description>
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  Previous issue date: 2017-12-03</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 105176
Lift date: 2020-03-13T15:25:40Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 105176
Lift date: 2020-03-13T15:28:52Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 105176 on 2020-03-14T09:15:12Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/99213</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2017 James Norton</dc:rights>
          <dc:subject>BCI, EEG, SSVEP</dc:subject>
          <dc:title>Steady-state visual evoked potentials and their application to brain-computer interfaces</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Neuroscience Program</department>
            <discipline>Neuroscience</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
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