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oai:www.ideals.illinois.edu:2142/88086 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Bretl, Timothy W. Mullins, Jessica L 2015-09-29T20:38:42Z 2015-09-29T20:38:42Z 2015-08 2015-07-20 "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)." Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-09-29 without embargo terms The student, Jessica Mullins, accepted the attached license on 2015-07-20 at 10:29. The student, Jessica Mullins, submitted this Thesis for approval on 2015-07-20 at 10:50. This Thesis was approved for publication on 2015-07-20 at 11:18. DSpace SAF Submission Ingestion Package generated from Vireo submission #8556 on 2015-09-29 at 13:23:13 Made available in DSpace on 2015-09-29T20:38:42Z (GMT). No. of bitstreams: 2 MULLINS-THESIS-2015.pdf: 2753363 bytes, checksum: 2a6392b9917996fcf7b081aeb3ed0b61 (MD5) LICENSE.txt: 4212 bytes, checksum: 874cf1e84c4ba1535405f5b0a41b58e0 (MD5) Previous issue date: 2015-07-20 application/pdf http://hdl.handle.net/2142/88086 en Copyright 2015 Jessica L Mullins Brain-Computer Interface Steady-State Visually Evoked Potential (SSVEP) Children Game SSVEP-based BCI performance in children text text 2015-8 Computer Science Computer Science University of Illinois at Urbana-Champaign Thesis M.S.