This thesis presents the design and development of an innovative exergame aimed atcombating the adverse effects of sedentary lifestyles, particularly prevalent among officeworkers and gamers. The game, built using the open-source Godot game engine andGoogle's MediaPipe machine learning framework, utilizes motion capture technology totranslate real-world player movements into in-game actions. Designed as a 2D miningadventure, the game encourages the player to physically move, promoting physical activityand improved blood flow. In addition to exploring the technical aspects of gamedevelopment, this thesis examines the broader context of sedentary lifestyles, the healthrisks associated, and the potential of exergames as a solution. The research question drivingthis project asks, "How to develop a 2d mining exergame where skill correlates with a highdegree of movement?" Through game development, user testing, and data evaluation, thiswork seeks to contribute to the growing field of exergames and their role in promotinghealthier lifestyles
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-196037 |
| Date | January 2023 |
| Creators | Shafeah, Mohamad, Bayat, Rayan |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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