Investigatory Brain-Computer Interface utilizing a single EEG sensor
| dc.contributor.advisor | Abraham, Jacob A. | |
| dc.creator | Shamlian, Daniel G. | en |
| dc.date.accessioned | 2013-12-13T18:49:46Z | en |
| dc.date.issued | 2013-05 | en |
| dc.date.submitted | May 2013 | en |
| dc.date.updated | 2013-12-13T18:49:47Z | en |
| dc.description | text | en |
| dc.description.abstract | A Human-Machine Interface is a device that allows humans to inter- act with and use machines. One such device is a Brain-Computer Interface which allows the user to communicate to a computer system through thought patterns. A commonly used technique, electroencephalography, uses multiple sensors positioned on the subject’s cranium to extract electrical changes as a representation of thought patterns. This report investigates the use of a single EEG sensor as a user-friendly BCI implementation. The primary goal of this report is to determine if specific mental tasks can be reliably detected with such a system. | en |
| dc.description.department | Electrical and Computer Engineering | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/2152/22694 | en |
| dc.language.iso | en_US | en |
| dc.subject | BCI | en |
| dc.subject | EEG | en |
| dc.subject | Brain-Computer Interface | en |
| dc.subject | HMI | en |
| dc.subject | NN | en |
| dc.subject | Neural network | en |
| dc.title | Investigatory Brain-Computer Interface utilizing a single EEG sensor | en |
| thesis.degree.department | Electrical and Computer Engineering | en |
| thesis.degree.discipline | Electrical and Computer Engineering | en |
| thesis.degree.grantor | The University of Texas at Austin | en |
| thesis.degree.level | Masters | en |
| thesis.degree.name | Master of Science in Engineering | en |