Vol.5, No.4, November 2016.                                                                                                              ISSN: 2217-8309

                                                                                                                                                           eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

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


Bora Uğurlu, Rembiye Kandemir, Aydın Carus, Ercan Abay


© 2016 Bora Uğurlu et al, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 5, Issue 4, Pages 480-486, ISSN 2217-8309, DOI: 10.18421/TEM54-11, November 2016.




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.


Keywords – Information system, emotional state, anxiety, decision tree.



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