Capturing Physiology of Emotion along Facial Muscles: A Method of Distinguishing Feigned from Involuntary Expressions

被引:0
|
作者
Khan, Masood Mehmood [1 ]
Ward, Robert D. [2 ]
Ingleby, Michael [3 ]
机构
[1] Curtin Univ Technol, Fac Sci & Engn, GPO Box U1987, Perth, WA 6845, Australia
[2] Univ Huddersfield, Appl Criminol Ctr, Dept Behav Sci, Huddersfield HD1 3DH, W Yorkshire, England
[3] Univ Huddersfield, Appl Criminol Ctr, Huddersfield HD1 3DH, W Yorkshire, England
关键词
SKIN TEMPERATURE; INFRARED MEASUREMENT;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The ability to distinguish feigned from involuntary expressions of emotions could help in the investigation and treatment of neuropsychiatric and affective disorders and in the detection of malingering. This work investigates differences in emotion-specific patterns of thermal variations along the major facial muscles. Using experimental data extracted from 156 images, we attempted to classify patterns of emotion-specific thermal variations into neutral, and voluntary and involuntary expressions of positive and negative emotive states. Initial results suggest (i) each facial muscle exhibits a unique thermal response to various emotive states; (ii) the pattern of thermal variances along the facial muscles may assist in classifying voluntary and involuntary facial expressions; and (iii) facial skin temperature measurements along the major facial muscles may be used in automated emotion assessment.
引用
收藏
页码:1196 / +
页数:3
相关论文
共 50 条
  • [21] Are You Upset? Distinct Roles for Orbitofrontal and Lateral Prefrontal Cortex in Detecting and Distinguishing Facial Expressions of Emotion
    Tsuchida, Ami
    Fellows, Lesley K.
    CEREBRAL CORTEX, 2012, 22 (12) : 2904 - 2912
  • [22] A Novel Model for Emotion Detection from Facial Muscles Activity
    Bagheri, Elahe
    Bagheri, Azam
    Esteban, Pablo G.
    Vanderborgth, Bram
    FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT 2019, VOL 2, 2020, 1093 : 237 - 249
  • [23] Processing facial expressions of emotion in normal and psychiatric populations: From brain to facial reactions
    Debruille, JB
    Hess, U
    Phillips, M
    Perrett, D
    Kappas, A
    PSYCHOPHYSIOLOGY, 2001, 38 : S8 - S8
  • [24] Multi-modal emotion analysis from facial expressions and electroencephalogram
    Huang, Xiaohua
    Kortelainen, Jukka
    Zhao, Guoying
    Li, Xiaobai
    Moilanen, Antti
    Seppanen, Tapio
    Pietikainen, Matti
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2016, 147 : 114 - 124
  • [25] Emotion Extraction from Facial Expressions by Using Artificial Intelligence Techniques
    Boz, Hakan
    Kose, Utku
    BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, 2018, 9 (01): : 5 - 16
  • [26] Emotion Recognition from Facial Expressions Using Frequency Domain Techniques
    Suja, P.
    Tripathi, Shikha
    Deepthy, J.
    ADVANCES IN SIGNAL PROCESSING AND INTELLIGENT RECOGNITION SYSTEMS, 2014, 264 : 299 - 310
  • [27] Recognizing multiple emotion from ambiguous facial expressions on mobile platforms
    Lee, Yong-Hwan
    Han, Wuri
    Kim, Youngseop
    SOFT COMPUTING, 2016, 20 (05) : 1811 - 1819
  • [29] Emotion recognition from facial expressions using frequency domain techniques
    Suja, P.
    Tripathi, Shikha
    Deepthy, J.
    Advances in Intelligent Systems and Computing, 2014, 264 : 299 - 301
  • [30] Recognizing multiple emotion from ambiguous facial expressions on mobile platforms
    Yong-Hwan Lee
    Wuri Han
    Youngseop Kim
    Soft Computing, 2016, 20 : 1811 - 1819