Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector machine

Lignende værker

• Comparison of Visual Stimuli for Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces in Virtual Reality Environment in terms of Classification Accuracy and Visual Comfort
  af: Choi, Kang-min, et al.
  Udgivet: (2019)
• Tradeoff between User Experience and BCI Classification Accuracy with Frequency Modulated Steady-State Visual Evoked Potentials
  af: Dreyer, Alexander M., et al.
  Udgivet: (2017)
• Design of Wearable Headset with Steady State Visually Evoked Potential-Based Brain Computer Interface
  af: Lin, Bor-Shyh, et al.
  Udgivet: (2019)
• CASAnova: a multiclass support vector machine model for the classification of human sperm motility patterns(†)
  af: Goodson, Summer G, et al.
  Udgivet: (2017)
• Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine
  af: Zhang, Yudong, et al.
  Udgivet: (2012)