Steady-state somatosensory evoked potentials for brain-controlled wheelchair

Keun Tae Kim, Seong Whan Lee

Research output: Contribution to conferencePaperpeer-review

11 Citations (Scopus)


This paper presents three-classes concentration task classification method using spatial-frequency feature of steady-state somatosensory evoked potentials (SSSEPs) for control of brain-controlled wheelchair. The feature extraction methods are based on common spatial pattern (CSP) filtering and fast Fourier-transform (FFT) analysis. A classification method is based on linear discriminant analysis (LDA). Three experimental tasks were performed to concentrate on vibration stimuli of left and right hand finger, and a toe; these tasks were associated with three wheelchair commands: turn left, turn right, and move forward, respectively. The vibration stimuli consisted of vibration motor controlled by micro controller unit (MCU). The experiment by simple paradigm was conducted with three subjects aged between 27 and 28 years old. The overall results show that using the spatial-frequency feature can increase the accuracy in classification of three concentration tasks.

Original languageEnglish
Publication statusPublished - 2014
Event2014 International Winter Workshop on Brain-Computer Interface, BCI 2014 - Gangwon, Korea, Republic of
Duration: 2014 Feb 172014 Feb 19


Other2014 International Winter Workshop on Brain-Computer Interface, BCI 2014
Country/TerritoryKorea, Republic of


  • Brain-Computer Interface (BCI)
  • Brain-controlled wheelchair
  • Steady-State Somatosensory Potentials (SSSEPs)

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Human Factors and Ergonomics


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