| dc.contributor.author | Hema, Chengalvarayan Radhakrishnamurthy | |
| dc.contributor.author | Paulraj, Murugesapandian | |
| dc.contributor.author | Sazali, Yaacob | |
| dc.contributor.author | Abdul Hamid, Adom | |
| dc.contributor.author | Ramachandran, Nagarajan | |
| dc.date.accessioned | 2009-11-13T07:15:55Z | |
| dc.date.available | 2009-11-13T07:15:55Z | |
| dc.date.issued | 2009-10-11 | |
| dc.identifier.citation | p.1C7 1- 1C7 3 | en_US |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/7288 | |
| dc.description | Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. | en_US |
| dc.description.abstract | Wheelchair control using a Brain Machine Interface based on motor imagery requires adequate subject training. In this paper we propose a new algorithm for a brain machine
interface design which is implemented in real-time wheelchair navigation using minimum subject training. Classification of
motor imagery for forward, stop, left and right hand movements are performed using Elman neural classifiers. Real-time wheelchair navigation is performed with trained and naive subjects to validate the proposed algorithm. | en_US |
| dc.description.sponsorship | Technical sponsored by IEEE Malaysia Section | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Perlis | en_US |
| dc.relation.ispartofseries | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) | en_US |
| dc.subject | Wheelchair control | en_US |
| dc.subject | Electronic control | en_US |
| dc.subject | Wheelchairs | en_US |
| dc.subject | Brain Machine | en_US |
| dc.subject | Brain-computer interfaces | en_US |
| dc.subject | Bioengineering | en_US |
| dc.title | Brain machine interface based wheelchair control with minimal subject training | en_US |
| dc.type | Working Paper | en_US |
| dc.contributor.url | hema@unimap.edu.my | en_US |
