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
收藏
页码:1259 / 1262
页数:4
相关论文
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