Brain-controlled finite state machine for wheelchair navigation

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. Categories and Subject Descriptors K.4.2 [Computers and Society]: Social Issues--Assistive technologies for persons with disabilities; H.5.2 [Information Interfaces and Presentation]: User Interfaces--Input devices and strategies General Terms Experimentation, Human Factors Keywords Human-computer interaction, brain-computer interface (BCI), steady-state visual evoked potentials (SSVEP), finite state machine

• Type: Conference
• Year: 2008
• Where: ASSETS
• Authors: Amir Teymourian, Thorsten Lüth, Axel Graeser, Torsten Felzer, Rainer Nordmann
• Keywords: ASSETS 2008, Brain-computer Interface, Emerging Technology, Finite State Machine, Visual Evoked Potentials