Development of an Autonomous BCI Wheelchair

Restoration of mobility for the movement impaired is one of the important goals for numerous Brain Computer Interface (BCI) systems. In this study, subjects used a steady state visual evoked potential (SSVEP) based BCI to select a desired destination. The selected destination was communicated to the wheelchair navigation system that controlled the wheelchair autonomously avoiding obstacles on the way to the destination. By transferring the responsibility of controlling the wheel chair from the subject to the navigation software, the number of BCI decisions needed to be completed by the subject to move to the desired destination is greatly reduced.

[1]  Anthony Stentz,et al.  A Guide to Heuristic-based Path Planning , 2005 .

[2]  Guy Bourhis,et al.  Smart wheelchair control through a deictic approach , 2010, Robotics Auton. Syst..

[3]  J. Wolpaw,et al.  Brain-Computer Interfaces: Principles and Practice , 2012 .

[4]  Yodchanan Wongsawat,et al.  Hybrid SSVEP-motion visual stimulus based BCI system for intelligent wheelchair , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[5]  Karthik Soundarapandian,et al.  Analog Front-End Design for ECG Systems Using Delta-Sigma ADCs , 2010 .

[6]  Cuntai Guan,et al.  Controlling a wheelchair using a BCI with low information transfer rate , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[7]  Francesco Piccione,et al.  User adaptive BCIs: SSVEP and P300 based interfaces , 2003, PsychNology J..

[8]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[9]  F. Cincotti,et al.  BCI meeting 2005-workshop on technology: hardware and software , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  Urbano Nunes,et al.  Assisted navigation for a brain-actuated intelligent wheelchair , 2013, Robotics Auton. Syst..

[11]  G. Reshmi,et al.  Design of a BCI System for Piloting a Wheelchair Using Five Class MI Based EEG , 2013, 2013 Third International Conference on Advances in Computing and Communications.

[12]  Xiaorong Gao,et al.  Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.

[13]  Oscar Yanez-Suarez,et al.  Command of a simulated wheelchair on a virtual environment using a brain-computer interface , 2009 .

[14]  S. Coyle,et al.  Brain–computer interfaces: a review , 2003 .

[15]  Yijun Wang,et al.  Visual and Auditory Brain–Computer Interfaces , 2014, IEEE Transactions on Biomedical Engineering.