Technologies for Personalized Ambient Intelligence based on 4 situational context awareness
Neul Ha, Jin-Soo Kim, Kang Yoon Lee
Abstract
Neul Ha, Jin-Soo Kim, Kang Yoon Lee
Abstract
Artificial Intelligence is growing very fast. Along with the development of artificial intelligence, Ambient intelligence is also developing, which can identify and transmit various activities such as people's daily life and work. Ambient Intelligence has developed into convergence technology of Artificial Intelligence, Cloud Computing and Internet of Things. We will discuss each technology. In this paper, we propose Personalized Ambient Intelligence which focuses on personalization based on the necessary element technologies for Ambient Intelligence(AmI). The proposed Personalized Ambient Intelligence should consist of Ambient Intelligence environment, AmI Common Data Model, Context Classification, AmI Sensor Technologies and Ambient intelligence situation. Among them, Personalized Ambient Situation should be classified into 4 situation as Home, Business, Driving, Moving. Using Personalized Ambient Intelligence presented in this paper, personalized context awareness is likely to be possible, and prediction of the next context will also be possible. And Finally, we will look at a brief summary of our definition of Personalized Ambient Intelligence and the areas that can be used in the future and conclude with future research.
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Artificial Intelligence is growing very fast. Along with the development of artificial intelligence, Ambient intelligence is also developing, which can identify and transmit various activities such as people's daily life and work. Ambient Intelligence has developed into convergence technology of Artificial Intelligence, Cloud Computing and Internet of Things. We will discuss each technology. In this paper, we propose Personalized Ambient Intelligence which focuses on personalization based on the necessary element technologies for Ambient Intelligence(AmI). The proposed Personalized Ambient Intelligence should consist of Ambient Intelligence environment, AmI Common Data Model, Context Classification, AmI Sensor Technologies and Ambient intelligence situation. Among them, Personalized Ambient Situation should be classified into 4 situation as Home, Business, Driving, Moving. Using Personalized Ambient Intelligence presented in this paper, personalized context awareness is likely to be possible, and prediction of the next context will also be possible. And Finally, we will look at a brief summary of our definition of Personalized Ambient Intelligence and the areas that can be used in the future and conclude with future research.
Key concepts: Ambient intelligence, Personalization, Computer science, Context (archaeology), Context awareness, Ubiquitous computing, Situation awareness, Cloud computing