Cover Image

Elbow movement detection using brain computer interface

Link to publisher's homepage at http://ieeexplore.ieee.org

Saved in:
Bibliographic Details
Main Authors: Farid, Ghani, Prof. Dr., Jilani, Musfira, Raghav, Mohit, Farooq, Omar, Yusuf Uzzama, Khan
Other Authors: faridghani@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Artificial actuator
Electroencephalographic (EEG)
Elbow movement
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26229
Tags: Add Tag
No Tags, Be the first to tag this record!
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
score 13.222552

Similar Items