| Abstract [eng] |
In this study, we are creating sports activities (push-ups, sit-ups and squats) recognition and tracking mobile application prototype using only smartphone sensors and a machine learning algorithms. • The first chapter analyzes scientific material for the human activities recognition, existing solutions, technologies and methods for implementation of the project. • In the second chapter, a specification of user’s requirements is made; software for the sports activities recognition is designed and implemented. • In the third chapter, the research of sports activities data analysis is made and machine learning algorithms are compared. • In the fourth chapter an experiment is performed to evaluate the accuracy of the sports activities recognition rate. |
