{"id":11389,"date":"2022-03-19T03:11:58","date_gmt":"2022-03-19T01:11:58","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=11389"},"modified":"2022-04-14T11:19:51","modified_gmt":"2022-04-14T08:19:51","slug":"systema-rozpiznavannya-emoczijnoyi-harakterystyky-oblychchya-lyudyny","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=11389","title":{"rendered":"\u0421\u0438\u0441\u0442\u0435\u043c\u0430 \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0432\u0430\u043d\u043d\u044f \u0435\u043c\u043e\u0446\u0456\u0439\u043d\u043e\u0457 \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0438 \u043e\u0431\u043b\u0438\u0447\u0447\u044f \u043b\u044e\u0434\u0438\u043d\u0438"},"content":{"rendered":"

<\/p>\n

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CREATION OF FACIAL EMOTION RECOGNITION SYSTEM<\/p>\n

\u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 69-72. \u041d\u043e\u043c\u0435\u0440: \u21166, 2021 (303)\u00a0<\/strong> \"\"<\/a>
\n\u0410\u0432\u0442\u043e\u0440\u0438<\/strong>:
\n\u041a\u0420\u0418\u0412\u0415\u041d\u0427\u0423\u041a \u042e. \u041f.
\n\u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u201c\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u201d
\nORCID ID: 0000-0002-2504-5833
\ne-mail: yurkokryvenchuk@gmail.com
\n\u041b\u0410\u0412\u0420\u0418\u041a \u042e. \u041e.
\n\u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u201c\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u201d
\ne-mail: ylilav55547@gmail.com
\nYURII KRYVENCHUK, Y. LAVRYK
\nLviv Polytechnic National University
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2021-303-6-69-72<\/a>
\n\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review : <\/strong>14.11.2021 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430<\/strong>\/<\/strong>Printed<\/strong> :<\/strong> 30.12.2021 \u0440.<\/p>\n

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\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0440\u043e\u0437\u043f\u0456\u0437\u043d\u0430\u0432\u0430\u043d\u043d\u044f \u0435\u043c\u043e\u0446\u0456\u0439, \u043e\u0431\u043b\u0438\u0447\u0447\u044f, \u0437\u0433\u043e\u0440\u0442\u043a\u043e\u0432\u0430 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u0430 \u043c\u0435\u0440\u0435\u0436\u0430 , OpenCV.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

In the modern world, a lot of things and processes, which not so long ago were treated as something from fiction, are increasingly being implemented in real life. An example of this is the automation of the process of recognizing emotions, which is no longer an unattainable technology and occupies an important place in the area of computer vision. Technologies for recognizing the emotions of facial expression can be used for various fields and purposes: from creating games and applications to more complex, such as analysis of people’s mental state, discussions, marketing research, attention monitoring, driver status, robotics and so on. All this confirms the high academic and commercial potential of systems for recognizing the emotional characteristics of the person and, accordingly, brings a large number of scientists and developers, some of whom have already implemented such systems. But today their number is small and a lot of such products require special equipment and high computing performance. Another common problem is the vulnerability to blurred images and the closed nature of the system, which makes it impossible to analyze and modify the development. Therefore, the optimization of the automated process of recognizing the emotions of facial expression is needed in order to create a more stable, high quality and affordable system. The paper have description and results of the creation of system of emotion recognition, the basis of which is a convolutional neural network. The user can connect with the system through a simple interface that allows you to download the image for analysis or turn on the camera to identify emotions in real time. The practical value of this work is the developed high-quality system for recognizing the facial emotional characteristics which is ready for use and implementation in relevant fields.
\nKeywords:<\/strong> face, emotion recognition, CNN, OpenCV.<\/p>\n

References<\/strong><\/p>\n

    \n
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