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- W2619748515 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." @default.
- W2619748515 created "2017-06-05" @default.
- W2619748515 creator A5078501990 @default.
- W2619748515 date "2017-01-01" @default.
- W2619748515 modified "2023-09-25" @default.
- W2619748515 title "Understanding Human Behavior in Intelligent Environments: A Context-Aware System Supporting Mountain Rescuers" @default.
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- W2619748515 doi "https://doi.org/10.1007/978-3-319-59060-8_25" @default.
- W2619748515 hasPublicationYear "2017" @default.
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