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Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals

There are various stages in human mental development. Among them are consciousness, drowsiness, and light sleep. These human mental stages and conditions can be affected by human emotions (Ali et al. in Wirel Pers Commun 125:3699–3713, 2022; Katmah et al. in Sensors 21(15):5043). Hence, human brainw...

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Main Authors: Norizam, Sulaiman, Mahfuzah, Mustafa, Fahmi, Samsuri, Siti Armiza, Mohd Aris, Nik Izzat Amirul, Mohd Zailani
Format: Conference or Workshop Item
Language:English
English
Published: Springer Nature 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41349/1/Human%20Mental%20Stage%20Interpretation%20Based%20on%20the%20Analysis.pdf
http://umpir.ump.edu.my/id/eprint/41349/2/Human%20Mental%20Stage%20Interpretation%20Based%20on%20the%20Analysis%20of%20Electroencephalogram%20%28EEG%29%20Signals.pdf
http://umpir.ump.edu.my/id/eprint/41349/
https://doi.org/10.1007/978-981-99-8819-8_18
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spelling my.ump.umpir.413492024-05-23T06:58:48Z http://umpir.ump.edu.my/id/eprint/41349/ Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals Norizam, Sulaiman Mahfuzah, Mustafa Fahmi, Samsuri Siti Armiza, Mohd Aris Nik Izzat Amirul, Mohd Zailani TK Electrical engineering. Electronics Nuclear engineering There are various stages in human mental development. Among them are consciousness, drowsiness, and light sleep. These human mental stages and conditions can be affected by human emotions (Ali et al. in Wirel Pers Commun 125:3699–3713, 2022; Katmah et al. in Sensors 21(15):5043). Hence, human brainwaves or electroencephalogram (EEG) signals can be employed to analyze and interpret the development of human mental stage. In this research, 1-channel EEG device is employed to measure neural electrical activity from five people as they are engaged in three different cognitive exercises such as playing a video game, reading a book, and watching a movie. EEG signals are analyzed in LabVIEW software to reveal the unique features which are able to describe various human stages. The EEG power spectrum in terms of mean and standard deviation for each EEG frequency band (theta band, alpha band, and beta band) is computed. Then, the k-nearest neighbor (k-NN) classifier is employed to discover the best feature that is capable to indicate status of human mental stage. The findings of the study demonstrated that the mean EEG feature with the training and testing ratio of k-NN classifier at 80:20 could detect and categorize human stages with the classification accuracy of 81.57%. Meanwhile, LabVIEW graphical user interface (GUI) and block diagram are constructed to display the analyses of human stages of each subject for the specified human stage activities. In addition, a device is built to indicate human mental stage in an off-line manner. Springer Nature 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41349/1/Human%20Mental%20Stage%20Interpretation%20Based%20on%20the%20Analysis.pdf pdf en http://umpir.ump.edu.my/id/eprint/41349/2/Human%20Mental%20Stage%20Interpretation%20Based%20on%20the%20Analysis%20of%20Electroencephalogram%20%28EEG%29%20Signals.pdf Norizam, Sulaiman and Mahfuzah, Mustafa and Fahmi, Samsuri and Siti Armiza, Mohd Aris and Nik Izzat Amirul, Mohd Zailani (2024) Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals. In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 225-237., 850. ISSN 2367-3389 ISBN 978-981-99-8819-8 https://doi.org/10.1007/978-981-99-8819-8_18
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Norizam, Sulaiman
Mahfuzah, Mustafa
Fahmi, Samsuri
Siti Armiza, Mohd Aris
Nik Izzat Amirul, Mohd Zailani
Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
description There are various stages in human mental development. Among them are consciousness, drowsiness, and light sleep. These human mental stages and conditions can be affected by human emotions (Ali et al. in Wirel Pers Commun 125:3699–3713, 2022; Katmah et al. in Sensors 21(15):5043). Hence, human brainwaves or electroencephalogram (EEG) signals can be employed to analyze and interpret the development of human mental stage. In this research, 1-channel EEG device is employed to measure neural electrical activity from five people as they are engaged in three different cognitive exercises such as playing a video game, reading a book, and watching a movie. EEG signals are analyzed in LabVIEW software to reveal the unique features which are able to describe various human stages. The EEG power spectrum in terms of mean and standard deviation for each EEG frequency band (theta band, alpha band, and beta band) is computed. Then, the k-nearest neighbor (k-NN) classifier is employed to discover the best feature that is capable to indicate status of human mental stage. The findings of the study demonstrated that the mean EEG feature with the training and testing ratio of k-NN classifier at 80:20 could detect and categorize human stages with the classification accuracy of 81.57%. Meanwhile, LabVIEW graphical user interface (GUI) and block diagram are constructed to display the analyses of human stages of each subject for the specified human stage activities. In addition, a device is built to indicate human mental stage in an off-line manner.
format Conference or Workshop Item
author Norizam, Sulaiman
Mahfuzah, Mustafa
Fahmi, Samsuri
Siti Armiza, Mohd Aris
Nik Izzat Amirul, Mohd Zailani
author_facet Norizam, Sulaiman
Mahfuzah, Mustafa
Fahmi, Samsuri
Siti Armiza, Mohd Aris
Nik Izzat Amirul, Mohd Zailani
author_sort Norizam, Sulaiman
title Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
title_short Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
title_full Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
title_fullStr Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
title_full_unstemmed Human Mental Stage Interpretation Based on the Analysis of Electroencephalogram (EEG) Signals
title_sort human mental stage interpretation based on the analysis of electroencephalogram (eeg) signals
publisher Springer Nature
publishDate 2024
url http://umpir.ump.edu.my/id/eprint/41349/1/Human%20Mental%20Stage%20Interpretation%20Based%20on%20the%20Analysis.pdf
http://umpir.ump.edu.my/id/eprint/41349/2/Human%20Mental%20Stage%20Interpretation%20Based%20on%20the%20Analysis%20of%20Electroencephalogram%20%28EEG%29%20Signals.pdf
http://umpir.ump.edu.my/id/eprint/41349/
https://doi.org/10.1007/978-981-99-8819-8_18
_version_ 1822924346287456256
score 13.232414

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