DocumentCode :
3736568
Title :
Study on determining the Big-Five personality traits of an individual based on facial expressions
Author :
Mihai Gavrilescu
Author_Institution :
Department of Telecommunications, University "Politehnica" Bucharest Bucharest, Romania
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
Previous studies revealed an increasing interest in determining the personality and behavior of individuals in areas such as career development and counseling, personalized health assistance, mental disorder diagnosis as well as detection of physical diseases with personality shift symptoms. Current ways of determining the Big-Five personality types involve completing a questionnaire, that takes an impractical amount of time and it cannot be used often. Our research aims building a novel non-invasive system to determine Big-Five personality traits based on facial features acquired using Facial Action Coding System. Results show links between the FACS action units present at maximum intensities in facial features and the personality traits of the individual. Moreover, the system built offers over 75% accuracy in predicting openness to experience, as well as neuroticism and extraversion and proves practical, offering results in no more than 3 minutes compared to the amount of time taken to complete a questionnaire.
Keywords :
"Face","Diseases","Emotion recognition","Face recognition","Career development","Gold","Mental disorders"
Publisher :
ieee
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2015
Print_ISBN :
978-1-4673-7544-3
Type :
conf
DOI :
10.1109/EHB.2015.7391604
Filename :
7391604
Link To Document :
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