In this paper, a technical overview will be provided for a developed mobile exergame, with a particular focus on its movement tracking. By utilizing spatial movement readout from the AR algorithm, we've managed to create an easy to use exergame that allows the user to track their horizontal movement. In contrast to a more conventional approach, our solution can work indoors, and can be applied to vertical motion tracking as well. The applied method led to an exergame tailor-made for its target group, but it didn't include a thorough examination of other alternatives to our AR usage. This means that our solution should be researched further to better understand its relevance in the field, while we've shown with a practical example how it can be utilized. / Heart-eXg
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-197279 |
| Date | January 2023 |
| Creators | Fallström, Johan |
| 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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