A development and evaluation platform for non-tactile power wheelchair controls

  • Authors:
  • Christopher McMurrough;Isura Ranatunga;Alexandros Papangelis;Dan O. Popa;Fillia Makedon

  • Affiliations:
  • The University of Texas at Arlington;The University of Texas at Arlington Research Institute (UTARI);The University of Texas at Arlington;The University of Texas at Arlington at Arlington Research Institute (UTARI);The University of Texas at Arlington

  • Venue:
  • Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
  • Year:
  • 2013

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Abstract

This paper presents an intelligent wheelchair designed to be used as a development and evaluation platform for alternative, non-tactile power wheelchair controls. The system is designed to be highly modular such that new human-computer interface devices and methods can be quickly integrated and evaluated as necessary. The current configuration provides full proportional steering and speed control outputs using a combination of voice commands, video-occulography (eye tracking), and a single point electrode based electroencephalography (EEG) brain-computer interface.