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SSVEP-based BCI performance in children
Mullins, Jessica L
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https://hdl.handle.net/2142/88086
Description
- Title
- SSVEP-based BCI performance in children
- Author(s)
- Mullins, Jessica L
- Issue Date
- 2015-07-20
- Director of Research (if dissertation) or Advisor (if thesis)
- Bretl, Timothy W.
- Department of Study
- Computer Science
- Discipline
- Computer Science
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Keyword(s)
- Brain-Computer Interface
- Steady-State Visually Evoked Potential (SSVEP)
- Children
- Game
- Abstract
- "The first contribution of this thesis is to show that children (9-11 years old) can achieve good performance when using a Brain-Computer Interface (BCI) based on the steady-state visually evoked potential (SSVEP). In our study, ten children (mean 9.9 years old) used an SSVEP-based BCI with a mean accuracy rate of 85.6% and a task completion rate of 97.5%. In contrast, a prior study of children (mean 9.8 years old) using an SSVEP-based BCI reported mean accuracy rates of between 50%-76% (depending on stimulation frequency) and a task completion rate of 59%. The second contribution of this thesis is to provide evidence that factors such as motivation or distraction may influence performance by children using SSVEP-based BCI more than the choice of stimulation frequency. Frequencies used by both our study (6-10Hz) and the prior study (7-11Hz) were similar. In contrast, our study asked children to play a computer game in a quiet environment, while the prior study asked children to perform text entry in a noisy environment. The game, which we developed and used for the first time in our study, is ``Brain Storm"" --- it allows a single player to pretend to be a farmer protecting crops from malicious lightning clouds using the power of his or her brain. All participants in our study were asked both to complete a target selection task and to play the game. Our results show participants perform better when playing the game (88.6% accuracy rate) than when completing the target selection task (82.5% accuracy rate). Performance in both conditions was better than reported in the prior study (approximately 50% accuracy rate with the 7-11Hz frequency range)."
- Graduation Semester
- 2015-8
- Type of Resource
- text
- Permalink
- http://hdl.handle.net/2142/88086
- Copyright and License Information
- Copyright 2015 Jessica L Mullins
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Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at IllinoisDissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer ScienceManage Files
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