EEG signal classification for real-time brain-computer interface applications: a review

EEG signal classification for real-time brain-computer interface applications: a review

Brain-computer interface (BCI) is linking the brain activity to computer, which allows a person to control devices directly with his brain waves and without any use of his muscles. Recent advances in real-time signal processing have made BCI a feasible alternative for controlling robot and for commu...

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Bibliographic Details
Main Authors: Khorshidtalab, A., Salami, Momoh Jimoh Emiyoka
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
T175 Industrial research. Research and development
Online Access:http://irep.iium.edu.my/1820/
http://irep.iium.edu.my/1820/
http://irep.iium.edu.my/1820/1/EEG.pdf
id iium-1820
recordtype eprints
spelling iium-18202012-02-28T02:48:18Z http://irep.iium.edu.my/1820/ EEG signal classification for real-time brain-computer interface applications: a review Khorshidtalab, A. Salami, Momoh Jimoh Emiyoka T175 Industrial research. Research and development Brain-computer interface (BCI) is linking the brain activity to computer, which allows a person to control devices directly with his brain waves and without any use of his muscles. Recent advances in real-time signal processing have made BCI a feasible alternative for controlling robot and for communication as well. Controlling devices using BCI is a crucial aid for people suffering from severe disabilities and more than that, BCIs can replace human to control robots working in dangerous or uncongenial situations. Effective BCIs demand for accurate and real-time EEG signals processing. This paper is to review the current state of research and to compare the performance of different algorithms for real-time classification of BCIbased electroencephalogram signals. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/1820/1/EEG.pdf Khorshidtalab, A. and Salami, Momoh Jimoh Emiyoka (2011) EEG signal classification for real-time brain-computer interface applications: a review. In: ICOM 2011, 17-19 May, 2011, Kuala Lumpur, Malaysia. http://www.iium.edu.my/ICOM/2011/
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T175 Industrial research. Research and development
spellingShingle T175 Industrial research. Research and development
Khorshidtalab, A.
Salami, Momoh Jimoh Emiyoka
EEG signal classification for real-time brain-computer interface applications: a review
description Brain-computer interface (BCI) is linking the brain activity to computer, which allows a person to control devices directly with his brain waves and without any use of his muscles. Recent advances in real-time signal processing have made BCI a feasible alternative for controlling robot and for communication as well. Controlling devices using BCI is a crucial aid for people suffering from severe disabilities and more than that, BCIs can replace human to control robots working in dangerous or uncongenial situations. Effective BCIs demand for accurate and real-time EEG signals processing. This paper is to review the current state of research and to compare the performance of different algorithms for real-time classification of BCIbased electroencephalogram signals.
format Conference or Workshop Item
author Khorshidtalab, A.
Salami, Momoh Jimoh Emiyoka
author_facet Khorshidtalab, A.
Salami, Momoh Jimoh Emiyoka
author_sort Khorshidtalab, A.
title EEG signal classification for real-time brain-computer interface applications: a review
title_short EEG signal classification for real-time brain-computer interface applications: a review
title_full EEG signal classification for real-time brain-computer interface applications: a review
title_fullStr EEG signal classification for real-time brain-computer interface applications: a review
title_full_unstemmed EEG signal classification for real-time brain-computer interface applications: a review
title_sort eeg signal classification for real-time brain-computer interface applications: a review
publishDate 2011
url http://irep.iium.edu.my/1820/
http://irep.iium.edu.my/1820/
http://irep.iium.edu.my/1820/1/EEG.pdf
first_indexed 2023-09-18T20:09:20Z
last_indexed 2023-09-18T20:09:20Z
_version_ 1777407372564627456

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