| dc.contributor.author | Hema, Chengalvarayan Radhakrishnamurthy | |
| dc.contributor.author | Murugesan Pandiyan, Paulraj, Prof. Dr. | |
| dc.contributor.author | Sazali, Yaacob, Prof. Dr. | |
| dc.contributor.author | Abdul Hamid, Adom, Dr. | |
| dc.contributor.author | Ramachandran, Nagarajan, Prof. Dr. | |
| dc.date.accessioned | 2011-10-08T05:32:46Z | |
| dc.date.available | 2011-10-08T05:32:46Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | Advances in Experimental Medicine and Biology, vol. 696 (7), 2011, pages 565-572 | en_US |
| dc.identifier.issn | 0065-2598 | |
| dc.identifier.uri | http://www.springerlink.com/content/w331415046r74551/fulltext.pdf | |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/14072 | |
| dc.description | Link at publisher's homepage at http://www.springerlink.com/ | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springerlink | en_US |
| dc.subject | Brain machine interface (BMI) | en_US |
| dc.subject | Wheelchair | en_US |
| dc.subject | Electroencephalography | en_US |
| dc.subject | Man machine interaction | en_US |
| dc.subject | Asynchronous | en_US |
| dc.title | Asynchronous brain machine interface-based control of a wheelchair | en_US |
| dc.type | Article | en_US |
| dc.contributor.url | hema@unimap.edu.my | en_US |
