CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
Determination of emotional state of human: analysis of directions and possibilities of complex use of instrumental methods
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Read | Rozaliev V. L., Zaboleeva-Zotova A. V., Orlova Yu. A., Gusynin O. S., Razheva A. V. Determination of emotional state of human: analysis of directions and possibilities of complex use of instrumental methods // Caspian journal : management and high technologies. — 2018. — №2. — pp. 162-173. |
Rozaliev V. L. - РЎand. Sci. (Engineering), Assistant Professor, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, vladimir.rozaliev@gmail.com
Zaboleeva-Zotova A. V. - Doct. Sci. (Engineering), Professor, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, zabzot@gmail.com
Orlova Yu. A. - Cand. Sci. (Pedagogical), Doct. Sci. (Engineering), Assistant Professor, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, yulia.orlova@gmail.com
Gusynin O. S. - undergraduate student, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, Oleg04301992@gmail.com
Razheva A. V. - undergraduate student, Volgograd State Technical University, 28 Lenin Ave., Volgograd, 400005, Russian Federation, rajeva.a.v@gmail.com
The purpose of the study described in this article is to increase the accuracy of recognizing emotions. Development of methods that implement a combined approach in the definition of human emotions. One of the implemented methods, the definition of human emotions, is based on the processing of video images and analysis of the dynamics of the movement of human hands. This approach uses, basically, a convolutional neural network, to determine human emotions, facial expressions on the video image, and the contactless gestural interface Leap Motion, used to capture and analyze the dynamics of the movement of human hands. The second method is based on the search for patterns of perception of the emotional expression of a person's face, based on the analysis of the coordinates of the person's view in areas of interest detected with the Tobii Eye Tracker 4c camera. Experiments have been carried out, the results of which show the high efficiency of the integrated use of instrumental methods in determining the emotional state of a person.
Key words: эмоциональное состояние, распознавание, Leap Motion, Tobii Eye Tracker, мимика, жесты, emotional state, recognition, Leap Motion, Tobii Eye Tracker, facial expressions, gestures