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Mental task design based on EEG signal for brain computer interface system.

Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The...

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Main Authors: Tan, Tian Swee, Ngeu @ Yeo, Chee Hau @ Chee Hau, Sheikh, Jahanzeb, Matthias, Tiong Foh Thye, Leong, Kah Meng
Format: Article
Language:English
Published: Penerbit UTM Press 2023
Subjects:
Q Science (General)
QH301 Biology
Online Access:http://eprints.utm.my/108788/1/TanTianSwee2023_MentalTaskDesignBasedonEEG.pdf
http://eprints.utm.my/108788/
http://dx.doi.org/10.11113/humentech.v2n1.38
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spelling my.utm.1087882024-12-09T06:21:12Z http://eprints.utm.my/108788/ Mental task design based on EEG signal for brain computer interface system. Tan, Tian Swee Ngeu @ Yeo, Chee Hau @ Chee Hau Sheikh, Jahanzeb Matthias, Tiong Foh Thye Leong, Kah Meng Q Science (General) QH301 Biology Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The paper focused on mental task designs for BCI by acquiring the signals generated by mental activity using EEG comb electrodes, placed over three-dimensional (3D) printed headset. The experiment involved the blinking of left and right eyes for the forward and backward movements of the prototype wheelchair. The experimental measurement was performed using a Cyton board where the information was transmitted through Bluetooth which were later processed and translated to the wheelchair to perform activities. The system has successfully achieved the real time control of an assistive device by using signals from the brain. Penerbit UTM Press 2023-02-06 Article PeerReviewed application/pdf en http://eprints.utm.my/108788/1/TanTianSwee2023_MentalTaskDesignBasedonEEG.pdf Tan, Tian Swee and Ngeu @ Yeo, Chee Hau @ Chee Hau and Sheikh, Jahanzeb and Matthias, Tiong Foh Thye and Leong, Kah Meng (2023) Mental task design based on EEG signal for brain computer interface system. Journal of Human Centered Technology, 2 (1). pp. 26-31. ISSN 2821-3467 http://dx.doi.org/10.11113/humentech.v2n1.38 DOI:10.11113/humentech.v2n1.38
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic Q Science (General)
QH301 Biology
spellingShingle Q Science (General)
QH301 Biology
Tan, Tian Swee
Ngeu @ Yeo, Chee Hau @ Chee Hau
Sheikh, Jahanzeb
Matthias, Tiong Foh Thye
Leong, Kah Meng
Mental task design based on EEG signal for brain computer interface system.
description Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The paper focused on mental task designs for BCI by acquiring the signals generated by mental activity using EEG comb electrodes, placed over three-dimensional (3D) printed headset. The experiment involved the blinking of left and right eyes for the forward and backward movements of the prototype wheelchair. The experimental measurement was performed using a Cyton board where the information was transmitted through Bluetooth which were later processed and translated to the wheelchair to perform activities. The system has successfully achieved the real time control of an assistive device by using signals from the brain.
format Article
author Tan, Tian Swee
Ngeu @ Yeo, Chee Hau @ Chee Hau
Sheikh, Jahanzeb
Matthias, Tiong Foh Thye
Leong, Kah Meng
author_facet Tan, Tian Swee
Ngeu @ Yeo, Chee Hau @ Chee Hau
Sheikh, Jahanzeb
Matthias, Tiong Foh Thye
Leong, Kah Meng
author_sort Tan, Tian Swee
title Mental task design based on EEG signal for brain computer interface system.
title_short Mental task design based on EEG signal for brain computer interface system.
title_full Mental task design based on EEG signal for brain computer interface system.
title_fullStr Mental task design based on EEG signal for brain computer interface system.
title_full_unstemmed Mental task design based on EEG signal for brain computer interface system.
title_sort mental task design based on eeg signal for brain computer interface system.
publisher Penerbit UTM Press
publishDate 2023
url http://eprints.utm.my/108788/1/TanTianSwee2023_MentalTaskDesignBasedonEEG.pdf
http://eprints.utm.my/108788/
http://dx.doi.org/10.11113/humentech.v2n1.38
_version_ 1818834049021509632
score 13.223943

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