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Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/20587
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| Title: | Synchronous brain machine interface design using focused time delay networks |
| Authors: | Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Assoc. Prof. Dr. Ramachandran, Nagarajan, Prof. Dr. |
| E-mail: | hema@unimap.edu.my paul@unimap.edu.my |
| Keywords: | Brain Machine Interface (BMI) Neural network Wheelchair Focused time-delay neural network (FTDNN) |
| Issue Date: | 27-Feb-2012 |
| Publisher: | Universiti Malaysia Perlis (UniMAP) |
| Department: | School of Mechatronic Engineering |
| Series/Report no.: | Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) |
| Abstract: | Focused time delay neural network based design for a
four-state Brain Machine Interface (BMI) to drive a wheelchair is
analyzed. Motor imagery signals recorded noninvasively using two
bipolar electrodes are used in the study. The performance of the
proposed dynamic classifier is compared with a static feed forward
neural classifier. Data collected from 10 subjects is used in this
study. Average classification performance in the range of 93% to
100% is achievable. Experiment results show that the focused time
delay neural network model is suitable for a four-state BMI design. |
| Description: | International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. |
| URI: | http://hdl.handle.net/123456789/20587 |
| Appears in Collections: | Abdul Hamid Adom, Prof. Dr. Conference Papers
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