Abstract
Recently, the concept of Internet of Things has widely proliferated to offer advanced connectivity between devices, systems, and services that continuously obtain enormous amounts of data from sensors. Recognizing context from the sensor data plays a crucial role in adding value to the raw sensor data. In this article, we propose a context-aware system through device-oriented modeling for the Internet of Things using modular Bayesian networks based on our previous study. A Bayesian network can handle flexibly the uncertain environments of frequent changes in device configuration, and the proposed system can enable us to adjust to the changing Internet of Things environment, making it more flexible. The main contribution of the article lies in the realization of the modular context-aware system with device-oriented modeling of Bayesian networks in smart home and the verification of the usability through a subjective test with 116 people. In addition, we evaluate the performance of the proposed system and s...
Highlights
Context-awareness is considered as the core feature of ubiquitous and pervasive computing systems which aim to provide convenient services to users who are in the contexts recognized
We develop a simulator for the Internet of Things (IoT) using the Unity3D tool which consists of six devices: smartphone, smart TV, air-conditioner, light, humidifier, and air cleaner
We extend the previous system to a smart TV–based context-aware system for IoT using modular Bayesian network (MBN)
Summary
Context-awareness is considered as the core feature of ubiquitous and pervasive computing systems which aim to provide convenient services to users who are in the contexts recognized. We already demonstrated that the modular approach to designing BNs was successful for landmark detection from mobile log data,[2] and the modular Bayesian network (MBN) could be improved with expert knowledge to develop a service robot.[3] We have been investigating the power of probabilistic models in several areas and trying to solve the problem of scalability This article develops another method of designing a modular context-aware system based on device-oriented modeling of BNs. This article develops another method of designing a modular context-aware system based on device-oriented modeling of BNs We apply this method for smart home as one of the real problems in the IoT environment and evaluate the usefulness of the system with large number of subjects. Section ‘‘Experiments’’ shows the experiments conducted to confirm the usefulness of the system
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