An expert system for determining the emotional change on a critical event using handwriting features
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Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Assoc Information Communication Technology Education & Science
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
An 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.
Açıklama
Anahtar Kelimeler
Information System, Emotional State, Anxiety, Decision Tree
Kaynak
Tem Journal-Technology Education Management Informatics
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
5
Sayı
4
