ROLE OF PUPIL DILATION AND FACIAL TEMPERATURE FEATURES IN STRESS DETECTION

被引：0

作者：

Baltaci, Serdar ^{[1
]}

Gokcay, Didem ^{[1
]}

机构：

[1] Ortadogu Tekn Univ, Enformat Enstitusu, Tip Bilisimi Bolumu, Ankara, Turkey

来源：

2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2014年

关键词：

facial temperature changes; pupil dilation; stress detection;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In order to differentiate the affective state of a computer user as it changes from relaxation to stress, features derived from pupil dilation and periorbital temperature are processed with machine learning techniques. When absolute signal values are used together with entropy based features, the accuracy of affective classification is observed to increase. When decision tree (C4.5) is tested for classification, best accuracy of detection of neutral versus aroused states is above 9%.

引用

页码：1259 / 1262

页数：4

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