A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION
| Autor: | DIMPLE OGUNBIYI, IBRAHIM OGUNDOYIN, CALEB AKANBI |
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| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Journal of Engineering Studies and Research, Vol 29, Iss 3 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2068-7559 2344-4932 96493925 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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