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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Main Authors: DIMPLE OGUNBIYI, IBRAHIM OGUNDOYIN, CALEB AKANBI
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2024-01-01
Series:Journal of Engineering Studies and Research
Subjects:
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.
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