• Media type: E-Book; Thesis
  • Title: Enhancement and optimization of a multi-command-based brain-computer interface
  • Contributor: Aljshamee, Mustafa [Author]; Luksch, Peter [Degree supervisor]; Nowottnick, Mathias [Degree supervisor]
  • Corporation: Universität Rostock ; Universität Rostock, Fakultät für Informatik und Elektrotechnik
  • Published: Rostock: Universität, 2017
  • Extent: 1 Online-Ressource
  • Language: English
  • DOI: 10.18453/rosdok_id00002388
  • Identifier:
  • RVK notation: ST 278 : Mensch-Maschine-Kommunikation Software-Ergonomie
  • Keywords: Gehirn-Computer-Schnittstelle
  • Origination:
  • University thesis: Dissertation, Universität Rostock, 2018
  • Footnote:
  • Description: 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.<eng>
  • Access State: Open Access