Study on determining the Big-Five personality traits of an individual based on facial expressions

被引:0
|
作者
Gavrilescu, Mihai [1 ]
机构
[1] Univ Politehn Bucuresti, Dept Telecommun, Bucharest, Romania
关键词
neural networks; affective computing; personality recognition; mental health disorders; career development; RECOGNITION;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:6
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