TELKOMNIKA Telecommunication Computing Electronics and Control
Fast channel selection method using modified camel travelling behavior algorithm
Dublin Core
Title
TELKOMNIKA Telecommunication Computing Electronics and Control
Fast channel selection method using modified camel travelling behavior algorithm
Fast channel selection method using modified camel travelling behavior algorithm
Subject
Brain computer interface
Features extraction methods
Modified camel travelling
behavior algorithm
Motor imagery signals
Optimization
Features extraction methods
Modified camel travelling
behavior algorithm
Motor imagery signals
Optimization
Description
Brain computer interface (BCI) is a protocol to communicate between the
human brain and a device or application using brain signals. These signals
translated to useful commands by using features extraction and
classification. The most widely used features is the power of alpha and beta
rhythms. This type of features gives only 70% of classification accuracy
without any extra processing using fixed channels to read the signals.
Because the distribution of the power in the brain is not a standard for all
people, each one has his own brain power map. A selection algorithm is used
to find the best channels that could generate higher power than the fixed
ones. Modified camel travelling behavior algorithm is used to select the
channels that used to extract the power of alpha and beta bands of motor
imagery signals. This algorithm is faster to find the best set of channels, and
obtain classification accuracy more than 95% using support vector machine
classifier.
human brain and a device or application using brain signals. These signals
translated to useful commands by using features extraction and
classification. The most widely used features is the power of alpha and beta
rhythms. This type of features gives only 70% of classification accuracy
without any extra processing using fixed channels to read the signals.
Because the distribution of the power in the brain is not a standard for all
people, each one has his own brain power map. A selection algorithm is used
to find the best channels that could generate higher power than the fixed
ones. Modified camel travelling behavior algorithm is used to select the
channels that used to extract the power of alpha and beta bands of motor
imagery signals. This algorithm is faster to find the best set of channels, and
obtain classification accuracy more than 95% using support vector machine
classifier.
Creator
Zaineb M. Alhakeem, Ramzy S. Ali
Source
http://telkomnika.uad.ac.id
Date
Jun 02, 2022
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Zaineb M. Alhakeem, Ramzy S. Ali, “TELKOMNIKA Telecommunication Computing Electronics and Control
Fast channel selection method using modified camel travelling behavior algorithm,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/4547.
Fast channel selection method using modified camel travelling behavior algorithm,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/4547.