A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION
Distress occurs when a person is in anxiety or fear. Existing research in distress detection arising from physical attacks focused mainly on the use of machine learning techniques. To extend research efforts, this study proposes an alternate approach using fuzzy logic. Parameters to describe physic...
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Format: | Article |
Language: | English |
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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2024-01-01
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Series: | Journal of Engineering Studies and Research |
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Online Access: | https://jesr.ub.ro/index.php/1/article/view/397 |
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author | DIMPLE OGUNBIYI IBRAHIM OGUNDOYIN CALEB AKANBI |
author_facet | DIMPLE OGUNBIYI IBRAHIM OGUNDOYIN CALEB AKANBI |
author_sort | DIMPLE OGUNBIYI |
collection | DOAJ |
description |
Distress occurs when a person is in anxiety or fear. Existing research in distress detection arising from physical attacks focused mainly on the use of machine learning techniques. To extend research efforts, this study proposes an alternate approach using fuzzy logic. Parameters to describe physically triggered distress were identified and used as input to the designed fuzzy model. Experiments were carried out using random samples of data values to test the behavior of the model. In all cases, the model was able to show outcomes that are expected and achieved high accuracy.
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format | Article |
id | doaj-art-40cf31cc3bbf4bebb1a4a9649392545a |
institution | Kabale University |
issn | 2068-7559 2344-4932 |
language | English |
publishDate | 2024-01-01 |
publisher | Alma Mater Publishing House "Vasile Alecsandri" University of Bacau |
record_format | Article |
series | Journal of Engineering Studies and Research |
spelling | doaj-art-40cf31cc3bbf4bebb1a4a9649392545a2025-02-09T11:36:49ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322024-01-01293A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTIONDIMPLE OGUNBIYIIBRAHIM OGUNDOYINCALEB AKANBI Distress occurs when a person is in anxiety or fear. Existing research in distress detection arising from physical attacks focused mainly on the use of machine learning techniques. To extend research efforts, this study proposes an alternate approach using fuzzy logic. Parameters to describe physically triggered distress were identified and used as input to the designed fuzzy model. Experiments were carried out using random samples of data values to test the behavior of the model. In all cases, the model was able to show outcomes that are expected and achieved high accuracy. https://jesr.ub.ro/index.php/1/article/view/397distress detection, fuzzy logic, parameters, physical attack |
spellingShingle | DIMPLE OGUNBIYI IBRAHIM OGUNDOYIN CALEB AKANBI A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION Journal of Engineering Studies and Research distress detection, fuzzy logic, parameters, physical attack |
title | A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION |
title_full | A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION |
title_fullStr | A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION |
title_full_unstemmed | A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION |
title_short | A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION |
title_sort | fuzzy logic model for human distress detection |
topic | distress detection, fuzzy logic, parameters, physical attack |
url | https://jesr.ub.ro/index.php/1/article/view/397 |
work_keys_str_mv | AT dimpleogunbiyi afuzzylogicmodelforhumandistressdetection AT ibrahimogundoyin afuzzylogicmodelforhumandistressdetection AT calebakanbi afuzzylogicmodelforhumandistressdetection AT dimpleogunbiyi fuzzylogicmodelforhumandistressdetection AT ibrahimogundoyin fuzzylogicmodelforhumandistressdetection AT calebakanbi fuzzylogicmodelforhumandistressdetection |