The effects of color and contrast characteristics in NoiseTag BCI
| dc.contributor.advisor | Desain, P.W.M. | |
| dc.contributor.advisor | Ahmadi, S. | |
| dc.contributor.advisor | Farquhar, J.D.R. | |
| dc.contributor.author | Brinke, J.A. ten | |
| dc.date.issued | 2018-07-01 | |
| dc.description.abstract | NoiseTag is a recently developed technology for measuring visually evoked brain stimuli and determining where a user is looking. It utilizes a computer display to present the end-user a set of buttons that will flash on and off, such that each button can be distinguished by a unique flashing pattern. The user focuses on the button to be selected and EEG recordings from the visual cortex are made. Based on the recorded signals, a classifier is used to determine which button the user was focussing on. NoiseTag is amongst other applications useful for use with BCI-spellers, which allow physically impaired persons to write text by looking at a screen of flashing letters. Another application would for example be home automation, where different electronic devices can be operated using a BCI setup as an interface. The objective of this research was to determine how the visual appearance of such a BCI-speller can be altered to improve its user experience and what effect such changes have on performance. Changing the colors of the stimuli turned out to have significant effects on both user experience and performance. However these effects appeared to be inversely related, making compromises a necessity. | en_US |
| dc.identifier.uri | https://theses.ubn.ru.nl/handle/123456789/7027 | |
| dc.language.iso | en | en_US |
| dc.thesis.faculty | Faculteit der Sociale Wetenschappen | en_US |
| dc.thesis.specialisation | Bachelor Artificial Intelligence | en_US |
| dc.thesis.studyprogramme | Artificial Intelligence | en_US |
| dc.thesis.type | Bachelor | en_US |
| dc.title | The effects of color and contrast characteristics in NoiseTag BCI | en_US |
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