Abstract
This paper presents a context-aware mobile framework (or middleware), intended to support the implementation of context-aware mobile services. The overview of basic concepts, architecture and components of context-aware mobile framework is given. The mobile framework provide acquisition and management of context, where raw data sensed from physical (hardware) sensors and virtual (software) sensors are combined, processed and analyzed to provide high-level context and situation of the user to the mobile context-aware applications in near real-time. Using demo mobile health application, its most important components and functions, such as these supposed to detect urgent or alarming health conditions of a mobile user and to initiate appropriate actions demonstrated.
Highlights
Context-aware systems take into account the current state of a user and, in addition, his environment, enabling a mobile device and the application to adjust in an appropriate way
The development of affordable sensors with low power consumption and their integration into modern mobile devices coupled with the recent advances in machine learning, enabled the creation of a more extensive model of user context often used for health monitoring [1]
To significantly reduce the flow of high volumes of collected data and in order to reduce the processing of that data on the remote server we propose a mobile context-aware framework for Android smart devices where context data processing and analysis is performed locally on the device itself and appropriate actions are initiated based on defined changes in the user’s context
Summary
Context-aware systems take into account the current state of a user and, in addition, his environment, enabling a mobile device and the application to adjust in an appropriate way. Remote healthcare monitoring involves the use of smart devices which aggregate data from multiple sensors and transmit the data to the remote server in order to generate high level context. To significantly reduce the flow of high volumes of collected data and in order to reduce the processing of that data on the remote server we propose a mobile context-aware framework for Android smart devices where context data processing and analysis is performed locally on the device itself and appropriate actions are initiated based on defined changes in the user’s context. Our goal is to collect data from physical and virtual sensors on mobile devices which provide the basic context and enable storage, process and analysis of contextual data locally in order to detect the context of a higher level and the situation of users on mobile devices
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