Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2334
Title: Model of an intelligent smart home system based on ambient intelligence and user profiling
Authors: Đurić, Igor
Barać, Dušan 
Bogdanović, Zorica 
Labus, Aleksandra 
Radenković, Božidar
Keywords: User profiling;Smart home;Multimedia centre;IoT;Ambient intelligence
Issue Date: 2022
Publisher: Springer Heidelberg, Heidelberg
Abstract: This paper introduces a new approach to building an intelligent smart home. The main goal is to leverage a modern, flexible, smart home by employing concepts and technologies of IoT, ambient intelligence, user profiling, and multimedia. The model combines these elements to develop not only an effective platform but also a rich, personalized and unique experience for the smart home users. By using ambient intelligence to gather and analyze the environmental data and combine them with user profiles, the system finds the right multimedia content adapted to the user's needs, based on their habits, time of the day and the weather. Besides, the system adapts the user's environment, as to make them feel as comfortable as possible, by adjusting the amount of light, movement of the curtains and setting the room temperature. The evaluation has shown the presented model possesses great potential for gaining new knowledge in the area of smart environment and IoT, enhancing everyday life, as well as innovations in various contexts.
URI: https://rfos.fon.bg.ac.rs/handle/123456789/2334
ISSN: 1868-5137
Appears in Collections:Radovi istraživača / Researchers’ publications

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