Asynchronous brain machine interface-based control of a wheelchair
Hema, Chengalvarayan Radhakrishnamurthy
Murugesan Pandiyan, Paulraj, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Dr.
Ramachandran, Nagarajan, Prof. Dr.
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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.