An Expert System for Determining the Emotional Change on a Critical Event Using Handwriting Features

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dc.contributor.authorUgurlu, Bora
dc.contributor.authorKandemir, Rembiye
dc.contributor.authorCarus, Aydin
dc.contributor.authorAbay, Ercan
dc.date.accessioned2024-06-12T11:03:52Z
dc.date.available2024-06-12T11:03:52Z
dc.date.issued2016
dc.departmentTrakya Üniversitesien_US
dc.description.abstractAn individual may sometimes feel anxious when a critical event happens. Job interview, wedding, moving in a new city/country can result this occurrence. Examinations taken in school are also that kind of events. Since our handwriting is controlled by brain, it is possible to see clear changes in handwriting style during examinations. In our study, an expert system is developed which considers handwriting features to predict student's exam anxiety state. 210 handwriting samples are collected and classification is made by using J48 decision tree algorithm. The average of Precision, Recall and F-Measure metrics are 71%, 66% and 67%, respectively.en_US
dc.identifier.doi10.18421/TEM54-11
dc.identifier.endpage486en_US
dc.identifier.issn2217-8309
dc.identifier.issn2217-8333
dc.identifier.issue4en_US
dc.identifier.startpage480en_US
dc.identifier.urihttps://doi.org/10.18421/TEM54-11
dc.identifier.urihttps://hdl.handle.net/20.500.14551/21802
dc.identifier.volume5en_US
dc.identifier.wosWOS:000388854000011en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherUikten - Assoc Information Communication Technology Education & Scienceen_US
dc.relation.ispartofTem Journal-Technology Education Management Informaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInformation Systemen_US
dc.subjectEmotional Stateen_US
dc.subjectAnxietyen_US
dc.subjectDecision Treeen_US
dc.subjectKappaen_US
dc.titleAn Expert System for Determining the Emotional Change on a Critical Event Using Handwriting Featuresen_US
dc.typeArticleen_US

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