A brain machine interface (BMI) design for controlling the navigation of a power wheelchair is proposed. Real-time experiments with four able bodied subjects are carried out using the BMI-controlled wheelchair. The BMI is based on only two electrodes and operated by motor imagery of four states. A recurrent neural classifier is proposed for the classification of the four mental states. The real-time experiment results of four subjects are reported and problems emerging from asynchronous control are discussed. © 2011 Springer Science+Business Media, LLC.
CITATION STYLE
Hema, C. R., Paulraj, M. P., Yaacob, S., Adom, A. H., & Nagarajan, R. (2011). Asynchronous brain machine interface-based control of a wheelchair. In Advances in Experimental Medicine and Biology (Vol. 696, pp. 565–572). https://doi.org/10.1007/978-1-4419-7046-6_57
Mendeley helps you to discover research relevant for your work.