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Toward brain-computer interface based wheelchair control utilizing tactually-evoked event-related potentials.

Tobias Kaufmann1, Andreas Herweg, Andrea Kübler

  • 1Department of Psychology I, University of Würzburg, Marcusstr 9-11, Würzburg 97070, Germany. tobias.kaufmann@uni-wuerzburg.de.

Journal of Neuroengineering and Rehabilitation
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This study shows that a brain-computer interface (BCI) using tactile stimuli is a feasible option for wheelchair control in individuals with severe disabilities. Dynamic stopping methods significantly improved the speed and accuracy of this novel tactile BCI system.

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Area of Science:

  • Neuroscience
  • Rehabilitation Engineering
  • Biomedical Engineering

Background:

  • Individuals with severe disabilities often require advanced assistive technologies for mobility.
  • Traditional assistive devices like joysticks may be inaccessible for some.
  • Brain-computer interfaces (BCI) offer an alternative, but visual or auditory BCIs can interfere with environmental perception.

Purpose of the Study:

  • To validate the feasibility of a tactile-evoked event-related potential (ERP) based BCI for wheelchair control.
  • To assess the effectiveness of a dynamic stopping method for enhancing tactile BCI performance.

Main Methods:

  • Fifteen participants controlled a virtual wheelchair using a tactile BCI.
  • Four tactile stimulators on the thighs, abdomen, and neck corresponded to navigation directions (left, right, forward, backward).
  • Participants focused attention on desired stimuli in an oddball paradigm to issue commands.

Main Results:

  • Eleven out of fifteen participants successfully navigated a virtual environment to reach four checkpoints.
  • The virtual wheelchair incorporated simulated collision avoidance, which was minimally required.
  • The dynamic stopping method proved valuable for improving tactile ERP classification accuracy.

Conclusions:

  • Tactile ERP-BCI demonstrates sufficient reliability for wheelchair operation in most users.
  • Dynamic stopping enhances the classification performance of tactile ERPs.
  • This research highlights the potential of tactile ERPs as a viable BCI modality for wheelchair control.