Brain-controlled finite state machine for wheelchair navigation

Authors:
Amir Teymourian;Thorsten Lueth;Axel Graeser;Torsten Felzer;Rainer Nordmann
Affiliations:
Institute of Automation, University of Bremen, Bremen, Germany;Institute of Automation, University of Bremen, Bremen, Germany;Institute of Automation, University of Bremen, Bremen, Germany;Department of Mechatronics in Mechanical Engineering, Darmstadt University of Technology, Darmstadt, Germany;Department of Mechatronics in Mechanical Engineering, Darmstadt University of Technology, Darmstadt, Germany
Venue:
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Year:
2008

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HaWCoS: the "hands-free" wheelchair control system

Proceedings of the fifth international ACM conference on Assistive technologies

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Abstract

This proposal is about a brain-controlled electrically powered wheelchair. The system comprises a brain-computer interface based on steady-state visual evoked potentials and a processing unit relying on a finite state machine (FSM). Results of first simulation experiments comparing two different FSMs are presented.