Classification of EEG colour imagination tasks based BMI using energy and entropy features
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.
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Working Paper |
| Language: | English |
| Published: |
Universiti Malaysia Perlis (UniMAP)
2012
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/20496 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-20496 |
|---|---|
| record_format |
dspace |
| spelling |
my.unimap-204962012-07-19T13:47:34Z Classification of EEG colour imagination tasks based BMI using energy and entropy features Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Assoc. Prof. Dr. Hema, Chengalvarayan Radhakrishnamurthy Purushothaman, Divakar paul@unimap.edu.my abdhamid@unimap.edu.my Brain machine interface Colour imagination tasks Neural network 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. Electroencephalogram (EEG) signals are the electrophysiological measures of brain function and it is used to develop a brain machine interface. Brain machine interface (BMI) system is used to provide a communication and control technology for the mentally able people having neuromuscular disorders. In this paper, a simple BMI system based on EEG signal emanated while imagining of different colours has been proposed. The proposed BMI uses the color imagination tasks (CIT) and aims to provide a communication link using brain activated control signal; the required task operation can be then performed and the needs of the physically retarded community can be accomplished. Two feature extraction method are used for analysis namely energy and entropy. The extracted features are then associated to different control signals and a probabilistic neural network model (PNN) has been developed. The effectiveness of the two features are compared using PNN classification accuracy. 2012-07-19T13:47:32Z 2012-07-19T13:47:32Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20496 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 Colour imagination tasks Neural network |
| spellingShingle |
Brain machine interface Colour imagination tasks Neural network Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Assoc. Prof. Dr. Hema, Chengalvarayan Radhakrishnamurthy Purushothaman, Divakar Classification of EEG colour imagination tasks based BMI using energy and entropy features |
| 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 |
paul@unimap.edu.my |
| author_facet |
paul@unimap.edu.my Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Assoc. Prof. Dr. Hema, Chengalvarayan Radhakrishnamurthy Purushothaman, Divakar |
| format |
Working Paper |
| author |
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. Abdul Hamid, Adom, Assoc. Prof. Dr. Hema, Chengalvarayan Radhakrishnamurthy Purushothaman, Divakar |
| author_sort |
Paulraj, Murugesa Pandiyan, Assoc. Prof. Dr. |
| title |
Classification of EEG colour imagination tasks based BMI using energy and entropy features |
| title_short |
Classification of EEG colour imagination tasks based BMI using energy and entropy features |
| title_full |
Classification of EEG colour imagination tasks based BMI using energy and entropy features |
| title_fullStr |
Classification of EEG colour imagination tasks based BMI using energy and entropy features |
| title_full_unstemmed |
Classification of EEG colour imagination tasks based BMI using energy and entropy features |
| title_sort |
classification of eeg colour imagination tasks based bmi using energy and entropy features |
| publisher |
Universiti Malaysia Perlis (UniMAP) |
| publishDate |
2012 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/20496 |
| _version_ |
1643793090212790272 |