Research Explorer

Project

Brain-Computer Interfaces With Machine Learning
Code
01D34413
Duration
01 October 2013 → 30 September 2017
Funding
Regional and community funding: Special Research Fund
Promotor
Research disciplines
  • Social sciences
    • Biological and physiological psychology
    • Cognitive science and intelligent systems
    • Developmental psychology and ageing
  • Medical and health sciences
    • Neurosciences
    • Neurosciences
    • Neurosciences
  • Engineering and technology
    • Modelling
    • Multimedia processing
Keywords
BCI paradigm EEG machine learning ERP
 
Project description
 

Brain-Computer Interfaces are used for communication through brain signals, created on application of a stimulus. The usability of these systems is highly dependend on the speed and the need for calibration. The use of Machine Learning techniques is investigated to eliminate the need for calibration. Also the combination of these techniques with the stimuluspattern is investigated to speed up the system.