Controlling Wheelchair Using Electroencephalogram

This paper present the development of a power wheelchair controller based on Electroencephalogram (EEG).To achieve this goal wavelet packet transform (WPT) was used for feature extraction of the relevant frequency bands from electroencephalogram (EEG) signals. Radial Basis Function network was used to classify the pre defined movements such as rest, forward, backward, left and right of the wheelchair. Classification and evaluation results showed the feasibility of EEG as an input interface to control a mechanical device like powered wheelchair. Keywords— Electroencephalogram (EEG), Wavelet Packet Transform (WPT), Radial Basis Function neural network (RBFNN), Brain computer interface (BCI), Rehabilitation, Wheelchair Controller.

[1]  Elisabeth Larsson,et al.  Multi-dimensional option pricing using radial basis functions and the generalized Fourier transform , 2008 .

[2]  Z. Keirn,et al.  A new mode of communication between man and his surroundings , 1990, IEEE Transactions on Biomedical Engineering.

[3]  Hong Wang,et al.  Wavelet transform for on-off switching BCI device , 2008 .

[4]  R. Palaniappan,et al.  Brain Computer Interface Design Using Band Powers Extracted During Mental Tasks , 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005..

[5]  Kyuwan Choi,et al.  Control of a Wheelchair by Motor Imagery in Real Time , 2008, IDEAL.

[6]  M. Nuttin,et al.  A brain-actuated wheelchair: Asynchronous and non-invasive Brain–computer interfaces for continuous control of robots , 2008, Clinical Neurophysiology.

[7]  Kazuo Tanaka,et al.  Electroencephalogram‐based control of a mobile robot , 2005 .

[8]  Sneh Anand,et al.  Quantitative EEG analysis for assessment to 'plan' a task in amyotrophic lateral sclerosis patients: a study of executive functions (planning) in ALS patients. , 2004, Brain research. Cognitive brain research.

[9]  M. Osaka,et al.  Peak alpha frequency of EEG during a mental task: task difficulty and hemispheric differences. , 1984, Psychophysiology.

[10]  Kazuo Tanaka,et al.  Electroencephalogram-based control of a mobile robot , 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

[11]  Dennis J. McFarland,et al.  Brain–computer interfaces for communication and control , 2002, Clinical Neurophysiology.

[12]  Gernot R. Müller-Putz,et al.  Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic , 2007, Comput. Intell. Neurosci..

[13]  Elisabeth Larsson,et al.  Improved radial basis function methods for multi-dimensional option pricing , 2008 .

[14]  José del R. Millán,et al.  Noninvasive brain-actuated control of a mobile robot by human EEG , 2004, IEEE Transactions on Biomedical Engineering.

[15]  E. Donchin,et al.  EEG-based communication: prospects and problems. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[16]  M Congedo,et al.  A review of classification algorithms for EEG-based brain–computer interfaces , 2007, Journal of neural engineering.

[17]  A. R. Nikolaev,et al.  EEG frequency ranges during perception and mental rotation of two-and three-dimensional objects , 1998, Neuroscience and Behavioral Physiology.

[18]  Bao-Guo Xu,et al.  Pattern Recognition of Motor Imagery EEG using Wavelet Transform , 2008 .

[19]  G Pfurtscheller,et al.  Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[20]  R. Kirsch,et al.  EMG-based prediction of shoulder and elbow kinematics in able-bodied and spinal cord injured individuals. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.