Recognition of Human Facial Expressions Using Methods of Machine Learning

Student: Petrov Mikhail

Supervisor: Rostislav Yavorskiy

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2017

This paper presents the results of research on recognition of human facial expressions using methods of machine learning. The aim of the work is to create a tool to recognize human facial expressions in real time. The work considered various approaches for solving these types of problems, data for the training model is collected, most appropriate method for solving the problem is selected and tested. The result of the work is a tool that analyzes the user reactions, highlights the characteristics of the user faces and clusters the reactions.

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