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

共 50 条

[41] Multimodal Depression Detection Based on Self-Attention Network With Facial Expression and Pupil
Liu, Xiang
Shen, Hao
Li, Huiru
Tao, Yongfeng
Yang, Minqiang
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2025, 12 (01): : 64 - 76
[42] Facial Features Monitoring for Real Time Drowsiness Detection
Manu, B. N.
PROCEEDINGS OF THE 2016 12TH INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY (IIT), 2016, : 78 - 81
[43] Automated Drowsiness Detection Through Facial Features Analysis
Mahdi, Walid
Akrout, Belhassen
Alroobaea, Roobaea
Alsufyani, Abdulmajeed
COMPUTACION Y SISTEMAS, 2019, 23 (02): : 511 - 521
[44] Contactless Deception Detection System with Hybrid Facial Features
Guo, Jing-Ming
Hsia, Chih-Hsien
Hsiao, Li-Wei
Yao, Chen-Chieh
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2021, 37 (04) : 793 - 808
[45] Detection and tracking facial features under complex background
Zhuang, L
Xu, GY
Ai, HZ
Song, G
HUMAN VISION AND ELECTRONIC IMAGING VII, 2002, 4662 : 448 - 454
[46] Facial Smile Detection Based on Deep Learning Features
Zhang, Kaihao
Huang, Yongzhen
Wu, Hong
Wang, Liang
PROCEEDINGS 3RD IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION ACPR 2015, 2015, : 534 - 538
[47] Detection of facial parts using edge and color features
Hagai, N
Hongo, H
Kato, K
Yamamoto, K
VSMM98: FUTUREFUSION - APPLICATION REALITIES FOR THE VIRTUAL AGE, VOLS 1 AND 2, 1998, : 380 - 385
[48] Facial action units detection by robust temporal features
Siritanawan, Prarinya
Kotani, Kazunori
PROCEEDINGS OF THE 2015 SEVENTH INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2015), 2015, : 161 - 168
[49] FACIAL FEATURES DETECTION USING TEXTURE HOUGH TRANSFORM
Gorbatsevich, V. S.
PHOTOGRAMMETRIC TECHNIQUES FOR VIDEO SURVEILLANCE, BIOMETRICS AND BIOMEDICINE, 2015, 40-5 (W6): : 107 - 111
[50] Eye Blink Detection Using Facial Features Tracker
AL-Gawwam, Sarmad
Benaissa, Mohammed
PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON BIOINFORMATICS RESEARCH AND APPLICATIONS (ICBRA 2017), 2015, : 27 - 30

← 1 2 3 4 5 →