A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION

Main Article Content

DIMPLE OGUNBIYI
IBRAHIM OGUNDOYIN
CALEB AKANBI

Abstract

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.

Article Details

How to Cite
OGUNBIYI, D., OGUNDOYIN, I., & AKANBI, C. (2024). A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION. Journal of Engineering Studies and Research, 29(3), 49-56. https://doi.org/10.29081/jesr.v29i3.005
Section
Articles
Author Biographies

DIMPLE OGUNBIYI

Department of Information and Communication Technology, Osun State University, P.M.B. 4494, Nigeria

IBRAHIM OGUNDOYIN

Department of Information and Communication Technology, Osun State University, P.M.B. 4494, Nigeria

CALEB AKANBI

Department of Information and Communication Technology, Osun State University, P.M.B. 4494, Nigeria