Elbow movement detection using brain computer interface
Link to publisher's homepage at http://ieeexplore.ieee.org
Saved in:
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Working Paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2013
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/26229 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-26229 |
|---|---|
| record_format |
dspace |
| spelling |
my.unimap-262292013-06-26T09:36:08Z Elbow movement detection using brain computer interface Farid, Ghani, Prof. Dr. Jilani, Musfira Raghav, Mohit Farooq, Omar Yusuf Uzzama, Khan faridghani@unimap.edu.my Artificial actuator Electroencephalographic (EEG) Elbow movement Link to publisher's homepage at http://ieeexplore.ieee.org This paper investigates effectiveness of using a non-invasive Electroencephalographic (EEG) activity for Brain Computer Interface, to analyze the brain activity and translate human elbow movement into the movement of an artificial actuator. Simple time domain statistical features (mean, variance, skewness, kurtosis, energy, inter quartile range and median absolute deviation) are extracted to detect left to right and right to left elbow movement by using a linear discriminant function based classifier. A robotic arm is used to mimic human elbow movement and its movement was controlled by the classifier's output. An overall accuracy of 73% is achieved in the classifications of two elbow movement using EEG signal. 2013-06-26T09:36:08Z 2013-06-26T09:36:08Z 2012-04 Working Paper Vol. 2, p. 736-740 978-898867867-1 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6268597&tag=1 http://hdl.handle.net/123456789/26229 en Proceedings of the 8th International Conference on Computing Technology and Information Management (ICCM) 2012 Institute of Electrical and Electronics Engineers (IEEE) |
| 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 |
Artificial actuator Electroencephalographic (EEG) Elbow movement |
| spellingShingle |
Artificial actuator Electroencephalographic (EEG) Elbow movement Farid, Ghani, Prof. Dr. Jilani, Musfira Raghav, Mohit Farooq, Omar Yusuf Uzzama, Khan Elbow movement detection using brain computer interface |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org |
| author2 |
faridghani@unimap.edu.my |
| author_facet |
faridghani@unimap.edu.my Farid, Ghani, Prof. Dr. Jilani, Musfira Raghav, Mohit Farooq, Omar Yusuf Uzzama, Khan |
| format |
Working Paper |
| author |
Farid, Ghani, Prof. Dr. Jilani, Musfira Raghav, Mohit Farooq, Omar Yusuf Uzzama, Khan |
| author_sort |
Farid, Ghani, Prof. Dr. |
| title |
Elbow movement detection using brain computer interface |
| title_short |
Elbow movement detection using brain computer interface |
| title_full |
Elbow movement detection using brain computer interface |
| title_fullStr |
Elbow movement detection using brain computer interface |
| title_full_unstemmed |
Elbow movement detection using brain computer interface |
| title_sort |
elbow movement detection using brain computer interface |
| publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| publishDate |
2013 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/26229 |
| _version_ |
1643794878248779776 |