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Scientific Visualization
| Issue Year: | 2017 |
| Quarter: | 4 |
| Volume: | 9 |
| Number: | 4 |
| Pages: | 41 - 46 |
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| Article Name: |
DEVELOPMENT OF ALGORITHMS FOR TRACKING OF MOVEMENT AND CONTROL POINTS ON THE FACE FOR REMOTE DETECTION OF PSYCHO-EMOTIONAL STATES |
| Authors: |
I.A. Znamenskaya (Russian Federation), E.Yu. Koroteeva (Russian Federation), V.V. Shishakov (Russian Federation), A.V. Khakhalin (Russian Federation), E.A. Kuzmicheva (Russian Federation), S.A. Isaichev (Russian Federation), A.M. Chernorizov (Russian Federation) |
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The paper is recommended by program committee of 27th International Conference on Computer Graphics and Vision GraphiCon’2017. |
| Address: |
I.A. Znamenskaya
znamen@phys.msu.ru
Lomonosov Moscow State University, Faculty of Physics, Moscow, Russian Federation
E.Yu. Koroteeva
koroteeva@physics.msu.ru
Lomonosov Moscow State University, Faculty of Physics, Moscow, Russian Federation
V.V. Shishakov
shift@physics.msu.ru
Lomonosov Moscow State University, Faculty of Physics, Moscow, Russian Federation
A.V. Khakhalin
Lomonosov Moscow State University, Faculty of Physics, Moscow, Russian Federation
E.A. Kuzmicheva
Lomonosov Moscow State University, Faculty of Physics, Moscow, Russian Federation
S.A. Isaichev
Lomonosov Moscow State University, Faculty of Psychology, Moscow, Russian Federation
A.M. Chernorizov
Lomonosov Moscow State University, Faculty of Psychology, Moscow, Russian Federation |
| Abstract: |
This work is focused on estimating the relationship between the dynamics of heat fluxes from a human face captured by a thermal camera, and the physiological response of the autonomic nervous system registered by contact methods. The emotional arousal is identified based on the activity of facial muscles, cutaneous blood vessels and breathing using optical and infrared imaging of human faces. The algorithms are applied for motion compensation and juxtaposition of video and thermal images, together with the software implementing these algorithms. The machine-learning based method is proposed to allocate the key points on human faces. |
| Language: |
English |
| DOI: |
http://doi.org/10.26583/sv.9.4.04 |
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