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  • Human Emotions Recognition Software System Developement based on Facial Expressions with Neural Network Technologies

Human Emotions Recognition Software System Developement based on Facial Expressions with Neural Network Technologies

Student: Mushkalov Nikita

Supervisor: Elena Zamyatina

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2020

The title of the final qualification work: «Human Emotions Recognition Software System Developement based on Facial Expressions with Neural Network Technologies». The final qualification work consists of four chapters. The first chapter contains the analysis The first chapter contains an analysis of the features of facial expressions of a human face, an overview of software systems that implement recognition of emotions, theoretical information about convolutional neural networks and the requirements put forward to the developed system. The second chapter is devoted to the design of the system, the selection of several architectures of convolutional neural networks for recognizing emotions and designing the user interface and behavior of the system application. The third chapter describes the phased development process of the convolutional neural network and its testing. The fourth chapter describes the step-by-step process of implementing a user application for using the developed network. The paper contains 58 pages. Year of 2019/2020.

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