| title: |
| Enhancement and optimization of a multi-command-based brain-computer interface |
|
| contributing persons: |
| Mustafa Aljshamee[VerfasserIn] |
 |
117589379X |
| Peter Luksch[AkademischeR BetreuerIn] |
|
137014341 |
| Mathias Nowottnick[AkademischeR BetreuerIn] |
|
115095489 |
|
| contributing corporate bodies: |
| Universität Rostock[Grad-verleihende Institution] |
|
38329-6 |
| Universität Rostock, Fakultät für Informatik und Elektrotechnik[Grad-verleihende Institution] |
|
10085032-7 |
|
| |
| abstract: |
|
Brain-computer interfaces (BCI) assist disabled person to control many appliances
without any physically interaction (e.g., pressing a button). SSVEP is brain activities
elicited by evoked signals that are observed by visual stimuli paradigm. In this dissertation
were addressed the problems which are oblige more usability of BCI-system by optimizing
and enhancing the performance using particular design. Main contribution of this work
is improving brain reaction response depending on focal approaches.
[English] |
|
| document type: |
|
| institution: |
| Faculty of Computer Science and Electrical Engineering |
|
| language: |
|
| subject class (DDC): |
| 000 Generalities, Science |
|
| |
publication /
production: |
Rostock
|
Rostock: Universität Rostock
|
|
2017
|
|
| statement of responsibility: |
| vorgelegt von Mustafa Aljshamee |
|
| |
| identifiers: |
|
| |
| access condition: |
|
| license/rights statement: |
all rights reserved
This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
|
|
| RosDok id: |
rosdok_disshab_0000002042 |
| created / modified: |
21.01.2019 / 08.08.2023
|
| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
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