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
