STM Journals Peer-reviewed research from Consortium e-Learning Network

Current Trends in Signal Processing

Steady State Visual Evoked Potential Based Brain Computer Interface System

  1. Atharv Dange
  2. Kamlesh Chavan
  3. Poonam Gawade
  4. V.G. Raut

Abstract

The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with the acquisition of EEG signals elicited by visual stimuli at frequencies 10 Hz, 12 Hz, 8.57 Hz, and 7.5 Hz. Signal pre-processing, involving a band-pass filter application, was meticulously executed to enhance the signal quality and focus on frequency-specific neural responses. Feature extraction played a pivotal role, capturing nuanced characteristics through computed mean, variance, skewness, and kurtosis. Subsequently, a Linear Support Vector Machine (SVM) was employed for classification, leveraging its prowess in establishing decision boundaries and maximizing the margin between cognitive states.

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