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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.
|Keywords: ||Brain Machine Interface (BMI)|
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.|
|Appears in Collections:||Abdul Hamid Adom, Prof. Dr.|
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