title: Asynchronous brain machine interface-based control of a wheelchair.
abstract: 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.
authors: School of Mechatronic Engineering, University Malaysia Perlis, 02600, Pauh, Perlis, Malaysia. hema@unimap.edu.my
authors: C R
authors: CR
authors: Hema
authors: M P
authors: MP
authors: Paulraj
authors: Sazali
authors: S
authors: Yaacob
authors: Abdul Hamid
authors: AH
authors: Adom
authors: R
authors: R
authors: Nagarajan
mesh_terms: D001921:Brain / Q000502:physiology; D019295:Computational Biology; D003199:Computer Systems; D004569:Electroencephalography; D004867:Equipment Design; D006801:Humans; D008328:Man-Machine Systems; D009422:Nervous System Diseases / Q000534:rehabilitation; D016571:Neural Networks, Computer; D014584:User-Computer Interface; D014910:Wheelchairs