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Synchronous brain machine interface design using focused time delay networks

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.

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Main Authors: Hema, Chengalvarayan Radhakrishnamurthy, Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr., Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Assoc. Prof. Dr., Ramachandran, Nagarajan, Prof. Dr.
Other Authors: hema@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Brain Machine Interface (BMI)
Neural network
Wheelchair
Focused time-delay neural network (FTDNN)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20587
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spelling my.unimap-205872012-08-09T03:56:26Z Synchronous brain machine interface design using focused time delay networks Hema, Chengalvarayan Radhakrishnamurthy Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Assoc. Prof. Dr. Ramachandran, Nagarajan, Prof. Dr. hema@unimap.edu.my paul@unimap.edu.my Brain Machine Interface (BMI) Neural network Wheelchair Focused time-delay neural network (FTDNN) 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. 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. 2012-08-09T03:56:26Z 2012-08-09T03:56:26Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20587 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Brain Machine Interface (BMI)
Neural network
Wheelchair
Focused time-delay neural network (FTDNN)
spellingShingle Brain Machine Interface (BMI)
Neural network
Wheelchair
Focused time-delay neural network (FTDNN)
Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Assoc. Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Synchronous brain machine interface design using focused time delay networks
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.
author2 hema@unimap.edu.my
author_facet hema@unimap.edu.my
Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Assoc. Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
format Working Paper
author Hema, Chengalvarayan Radhakrishnamurthy
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Assoc. Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
author_sort Hema, Chengalvarayan Radhakrishnamurthy
title Synchronous brain machine interface design using focused time delay networks
title_short Synchronous brain machine interface design using focused time delay networks
title_full Synchronous brain machine interface design using focused time delay networks
title_fullStr Synchronous brain machine interface design using focused time delay networks
title_full_unstemmed Synchronous brain machine interface design using focused time delay networks
title_sort synchronous brain machine interface design using focused time delay networks
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20587
_version_ 1643793133550436352
score 13.154949

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