Abstract
The ubiquity of smartphones with integrated positioning systems, and multiple sensors for movement detection made it possible to develop context-sensitive applications for both productivity and entertainment. Location-based games like Ingress or Pokémon Go have demonstrated the public interest in this genre of mobile-only games – games that are exclusively available for mobile devices due to their sensor integration. For these games mobility is a key component, which defines and influences the game’s flow directly.
In this paper we compare different approaches and available frameworks for mobility detection and examine the frameworks’ performances in a scenario-based evaluation.
Based on our finding we present our own approach to differentiate between different modes of public transport and other common modes of movement like walking, running or riding a bicycle. Our approach already reaches an accuracy of 87% with a small sample size.
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Acknowledgment
The research presented in this paper was partially funded by the LOEWE initiative (Hessen, Germany) within the research project “Infrastruktur – Design – Gesellschaft” as project mo.de.
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Tregel, T., Gilbert, A., Konrad, R., Schäfer, P., Göbel, S. (2018). Examining Approaches for Mobility Detection Through Smartphone Sensors. In: Göbel, S., et al. Serious Games. JCSG 2018. Lecture Notes in Computer Science(), vol 11243. Springer, Cham. https://doi.org/10.1007/978-3-030-02762-9_22
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DOI: https://doi.org/10.1007/978-3-030-02762-9_22
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