This bachelor thesis aims to explore the development of a peer-assisted exergame using Unity as the framework and YOLOv8 for movement tracking. Exergames, which combine exercise and gaming elements, have gained popularity in recent years as a means to promote physical activity. However, they often lack a social component, which could enhance motivation and engagement. This research project seeks to address this gap by creating a peer-assisted exergame that encourages players to exercise together while having fun.
Thesis Type |
|
Student |
Yorck Degens |
Status |
Finished |
Presentation room |
Seminar room I5 6202 |
Supervisor(s) |
Stefan Decker |
Advisor(s) |
Michal Slupczynski |
Contact |
slupczynski@dbis.rwth-aachen.de |
Prerequisites:
- Unity
- Python
Related Projects:
MILKI-PSY - Multimodales Immersives Lernen mit KI für Psychomotorische Fähigkeiten
MILKI-PSY - Multimodales Immersives Lernen mit KI für Psychomotorische Fähigkeiten