Development of an Ad-hoc Smart Room Based on User-oriented Context-aware System Architecture

Context is defined as information that represents the environment surrounding us. A system to provide services to users using context is called a context-aware system (CAS), and it has been widely studied. However, many conventional CASs are not flexible. As conventional CASs cannot be freely customized by end-users, they lack adaptability to environments, making them difficult to use in various environments. To solve this problem, we propose a user-oriented context-aware system architecture (U-CASA) for building ad-hoc smart rooms. This architecture allows end-users to install various IoT sensor devices to the target environment and to make it a smart room. The end-user can also freely customize the system settings and can link various contexts to a variety of services. In order to evaluate the proposed architecture, we built two ad-hoc smart rooms based on U-CASA. As a result of the demonstration experiment with behavior scenarios, we confirmed that two smart rooms can perform properly and can provide services despite their different environments.

[1]  Diane J. Cook,et al.  An Adaptive Sensor Mining Framework for Pervasive Computing Applications , 2008, KDD Workshop on Knowledge Discovery from Sensor Data.

[2]  Anind K. Dey,et al.  Is Context-Aware Computing Taking Control away from the User? Three Levels of Interactivity Examined , 2003, UbiComp.

[3]  Barry Brumitt,et al.  EasyLiving: Technologies for Intelligent Environments , 2000, HUC.

[4]  Chris D. Nugent,et al.  Decision Support for Alzheimer's Patients in Smart Homes , 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

[5]  M. Humayun Kabir,et al.  Machine Learning Based Adaptive Context-Aware System for Smart Home Environment , 2015 .

[6]  Tatsuya Yamazaki,et al.  Beyond the Smart Home , 2006, 2006 International Conference on Hybrid Information Technology.

[7]  Michael C. Mozer,et al.  The Neural Network House: An Environment that Adapts to its Inhabitants , 1998 .

[8]  Oliver Brdiczka,et al.  Learning Situation Models in a Smart Home , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[9]  Gregory D. Abowd,et al.  Towards a Better Understanding of Context and Context-Awareness , 1999, HUC.

[10]  Hiroshi Noguchi,et al.  Construction of network system and the first step of summarization for human daily action data in the sensing room , 2002, Proceedings. IEEE Workshop on Knowledge Media Networking.

[11]  Ana M. Bernardos,et al.  A data fusion framework for context-aware mobile services , 2008, 2008 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.

[12]  Arkady B. Zaslavsky,et al.  Context Aware Computing for The Internet of Things: A Survey , 2013, IEEE Communications Surveys & Tutorials.