Academic stress level detection using EEG signals: a thesis

Being stressed are common with the students. Being stressed at some point may be okay, but excessive level of stress can affect the student's performance in different ways. It can even provoke negative health problems to them. If the stress level of a student becomes too much, it may require th...

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Main Authors: Angulo, Czarah Maria Jeanne R., De Leon, Jomari James T., Go, Sheeremari Joy M.
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Language:English
Published: Animo Repository 2013
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/7181
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-78252021-08-03T13:37:04Z Academic stress level detection using EEG signals: a thesis Angulo, Czarah Maria Jeanne R. De Leon, Jomari James T. Go, Sheeremari Joy M. Being stressed are common with the students. Being stressed at some point may be okay, but excessive level of stress can affect the student's performance in different ways. It can even provoke negative health problems to them. If the stress level of a student becomes too much, it may require the attention and supervision of their school teacher or parents for them to be able to handle their stress. It is hard to recognize by parents or teacher if a student is stressed or measure a student's stress level. Various studies have shown different ways to measure stress by means of EEG (electroencephalogram) devices. To address this problem, the researchers have developed a system that can detect academic stress level of a student through eye blinks, self-reported emotions such as frustration, confusion and difficulty which are mainly related to stress. The entropy of the signal is also measured to add a feature in assessing the stress level. They selected an optimal electrode pair to represent eye blinks and implemented a modified algorithm for eye blinks detection for the system to automatically count the number of eye blinks in a given signal signal. To measure stress, the researchers identified the relationship of self-reports and entropy with eye blinks. The relationship between them is used to determine the stress level of a student. The system can help a student to cope with stress, by doing the necessary actions once their stress level of a certain task is known. By applying the actions needed on dealing with stress, a student can prevent the negative effects of stress. 2013-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/7181 Bachelor's Theses English Animo Repository Electroencephalography Entropy Infrared testing STRESS (Computer program language) Thermoelastic stress analysis Electrical and Electronics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Electroencephalography
Entropy
Infrared testing
STRESS (Computer program language)
Thermoelastic stress analysis
Electrical and Electronics
spellingShingle Electroencephalography
Entropy
Infrared testing
STRESS (Computer program language)
Thermoelastic stress analysis
Electrical and Electronics
Angulo, Czarah Maria Jeanne R.
De Leon, Jomari James T.
Go, Sheeremari Joy M.
Academic stress level detection using EEG signals: a thesis
description Being stressed are common with the students. Being stressed at some point may be okay, but excessive level of stress can affect the student's performance in different ways. It can even provoke negative health problems to them. If the stress level of a student becomes too much, it may require the attention and supervision of their school teacher or parents for them to be able to handle their stress. It is hard to recognize by parents or teacher if a student is stressed or measure a student's stress level. Various studies have shown different ways to measure stress by means of EEG (electroencephalogram) devices. To address this problem, the researchers have developed a system that can detect academic stress level of a student through eye blinks, self-reported emotions such as frustration, confusion and difficulty which are mainly related to stress. The entropy of the signal is also measured to add a feature in assessing the stress level. They selected an optimal electrode pair to represent eye blinks and implemented a modified algorithm for eye blinks detection for the system to automatically count the number of eye blinks in a given signal signal. To measure stress, the researchers identified the relationship of self-reports and entropy with eye blinks. The relationship between them is used to determine the stress level of a student. The system can help a student to cope with stress, by doing the necessary actions once their stress level of a certain task is known. By applying the actions needed on dealing with stress, a student can prevent the negative effects of stress.
format text
author Angulo, Czarah Maria Jeanne R.
De Leon, Jomari James T.
Go, Sheeremari Joy M.
author_facet Angulo, Czarah Maria Jeanne R.
De Leon, Jomari James T.
Go, Sheeremari Joy M.
author_sort Angulo, Czarah Maria Jeanne R.
title Academic stress level detection using EEG signals: a thesis
title_short Academic stress level detection using EEG signals: a thesis
title_full Academic stress level detection using EEG signals: a thesis
title_fullStr Academic stress level detection using EEG signals: a thesis
title_full_unstemmed Academic stress level detection using EEG signals: a thesis
title_sort academic stress level detection using eeg signals: a thesis
publisher Animo Repository
publishDate 2013
url https://animorepository.dlsu.edu.ph/etd_bachelors/7181
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