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Control brain machine interface for a power wheelchair

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Bibliographic Details
Main Authors: Hema, Chengalvarayan Radhakrishnamurthy, Murugesa Pandiyan, Paulraj, Assoc. Prof. Dr.
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: Springer-Verlag 2011
Subjects:
Brain machine interface (BMI)
EEG signal processing
Neural networks
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14037
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id my.unimap-14037
record_format dspace
spelling my.unimap-140372011-10-05T15:52:09Z Control brain machine interface for a power wheelchair Hema, Chengalvarayan Radhakrishnamurthy Murugesa Pandiyan, Paulraj, Assoc. Prof. Dr. paul@unimap.edu.my Brain machine interface (BMI) EEG signal processing Neural networks Link to publisher's homepage at http://www.springerlink.com/ Controlling a power wheelchair using a brain machine interface (BMI) requires sufficient subject training. A neural network based BMI design using motor imagery of four states is used to control the navigation of a power wheelchair. The online experiment results are presented for two indoor navigation protocols. Twotrained subjects participated in the study. Performance of the real-time experiments is assessed based on the targets reached, time taken to reach the targets and on completion of a given navigation protocol. A performance rate of 85.7% is achievable by both subjects for the real-time experiments. 2011-10-05T15:52:08Z 2011-10-05T15:52:08Z 2011-06-20 Working Paper IFMBE Proceedings, vol. 35 (9), 2011, pages 287-291 978-364221728-9 1680-0737 http://www.springerlink.com/content/h443052035k7511n/ http://hdl.handle.net/123456789/14037 en Proceedings of the 5th Kuala Lumpur International Conference on Biomedical Engineering (BIOMED 2011) Springer-Verlag
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)
EEG signal processing
Neural networks
spellingShingle Brain machine interface (BMI)
EEG signal processing
Neural networks
Hema, Chengalvarayan Radhakrishnamurthy
Murugesa Pandiyan, Paulraj, Assoc. Prof. Dr.
Control brain machine interface for a power wheelchair
description Link to publisher's homepage at http://www.springerlink.com/
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Hema, Chengalvarayan Radhakrishnamurthy
Murugesa Pandiyan, Paulraj, Assoc. Prof. Dr.
format Working Paper
author Hema, Chengalvarayan Radhakrishnamurthy
Murugesa Pandiyan, Paulraj, Assoc. Prof. Dr.
author_sort Hema, Chengalvarayan Radhakrishnamurthy
title Control brain machine interface for a power wheelchair
title_short Control brain machine interface for a power wheelchair
title_full Control brain machine interface for a power wheelchair
title_fullStr Control brain machine interface for a power wheelchair
title_full_unstemmed Control brain machine interface for a power wheelchair
title_sort control brain machine interface for a power wheelchair
publisher Springer-Verlag
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14037
_version_ 1643790966891479040
score 13.18916

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