Abstract
Intelligent environments provide people-centered computing to support people in their daily lifes. Understanding human behavior and context information is crucial to provide context-aware and pro-active services for all actors of smart spaces. On the other hand, mobile phone network data, collected by suppliers, provide valuable information about human locations and behaviors. This paper presents a unified approach comprising both informal (use cases) and more formal (algorithms) elements which enable obtaining a common framework that use information encoded into pervasive datasets to generate, through context-based reasoning, decisions which support actors operating in a smart space. The system is designed to support mountain rescuers. It provides pro-active decision taking or warning about dangerous situations on the mountain trails. In this way, the system supports rescuers and makes tourist staying in the mountains more safe.
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Acknowledgments
I would like to thank my students Nikodem Kirsz, Anna Połeć, and Marlena Zdybel (AGH UST, Kraków, Poland) for their valuable cooperation when preparing this work.
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Klimek, R. (2017). Understanding Human Behavior in Intelligent Environments: A Context-Aware System Supporting Mountain Rescuers. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science(), vol 10246. Springer, Cham. https://doi.org/10.1007/978-3-319-59060-8_25
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