Theses


Kinematic analysis of human gait using a depth sensor

Engineer's thesis, 2024

Author: Ewelina Borkowska
Supervisor: Jakub Wagner


The use of the Kalman filter in the analysis of human gait by means of depth sensors

Engineer's thesis, 2024

Author: Dawid Potwora
Supervisor: Jakub Wagner


Mobile application implementing the functionality of a metronome with smoothly varying tempo

Engineer's thesis, 2024

Author: Aleksander Czajka
Supervisor: Jakub Wagner


Automatic musical instrument recognition using machine learning

Master thesis, 2024

Author: Anna Stachurka
Supervisor: Jakub Wagner


Evaluation of gait asymmetry based on data from a depth sensor

Engineer's thesis, 2023

Author: Sofiya Makarenka
Supervisor: Jakub Wagner

First place in the Engineer 4 Science 2023 contest


Mobile application for practicing melodic dictations

Engineer's thesis, 2023

Author: Oskar Zając
Supervisor: Jakub Wagner


Programmable metronome – mobile application

Engineer's thesis, 2023

Author: Mikołaj Jagielski
Supervisor: Jakub Wagner


Application for spatiotemporal analysis of human gait by means of a depth sensor

Engineer's thesis, 2022

Author: Magdalena Kryczka
Supervisor: Jakub Wagner

Honourable mention in the Engineer 4 Science 2022 contest


Methods for processing data from depth sensors, aimed at spatio-temporal analysis of human gait

Master thesis, 2022

Author: Marcin Szymański
Supervisor: Jakub Wagner


Application supporting the development of the sense of rhythm

Engineer's thesis, 2022

Author: Anna Stachurka
Supervisor: Jakub Wagner