Topic
Context awareness
About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.
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TL;DR: A body control system is designed that recognizes and interprets human gestures as machine commands to control the TV and a new social tag-based method is created to recommend the most suitable multimedia contents for users.
Abstract: Smart TV, which enables viewers to conveniently access different multimedia contents and interactive services in a single platform, is currently becoming popular. The work presented here develops three new ways to enhance the performance of a smart TV. The first is to design a body control system that recognizes and interprets human gestures as machine commands to control the TV. The second is to create a new social tag-based method to recommend the most suitable multimedia contents for users. Finally, a context-aware platform is implemented to consider different environmental situations to make the best recommendations.
53 citations
12 Sep 2016
TL;DR: Notifications in multi-device environments is investigated by analyzing the results of a week-long in-situ study with 16 participants and it is found that the smartphone is the preferred device on which to be notified.
Abstract: Smart devices have arrived in our everyday lives. Being able to notify the user about events is a core feature of these devices. Related work investigated interruptions caused by notifications on single devices. In this paper, we investigate notifications in multi-device environments by analyzing the results of a week-long in-situ study with 16 participants. We used the Experience Sampling Method (ESM) and recorded the participants' interaction with smartphones, smartwatches, tablets and PCs. Disregarding the type or content of notifications, we found that the smartphone is the preferred device on which to be notified. Further, we found that the proximity to the device, whether it is currently being used and the user's current location can be used to predict if the user wants to receive notifications on a device. The findings can be used to design future multi-device aware smart notification systems.
53 citations
TL;DR: The design methodology in its conceptual, logical and logistic phases determine the VSDB ambient which is the set of personal and environmental characteristics determining the portion of data that must be stored on the portable device.
53 citations
TL;DR: This paper proposes an architecture for data integration within an electronic health care network based on extending the traditional SOA approach with support for complex event processing and context awareness and facilitates integrated business performance management against quality of care targets.
Abstract: The emergence of biomedical wireless sensors, the wide spread use of smartphones, and advanced data stream mining techniques have enabled a new generation of personal health monitoring systems. These health monitoring systems are mostly stand-alone and are not yet integrated with existing e-Health systems, which could seriously limit their large scale deployment. In this paper, we propose an architecture for data integration within an electronic health care network based on extending the traditional SOA approach with support for complex event processing and context awareness. This architecture also facilitates integrated business performance management against quality of care targets. A detailed health monitoring scenario for the care of cardiac patients is used to illustrate system requirements and to validate the proposed architecture. The expected benefits of our approach include a higher quality of care, reduced costs for health service providers and a higher quality of life for the patients.
53 citations
TL;DR: The hybrid reasoning approach adopted by CARE is illustrated and the extensive experimental results on ontology-based context reasoning that support the approach are reported.
Abstract: The Context Aggregation and REasoning (CARE) middleware aims at supporting context-aware adaptation of internet services in a mobile computing environment. Context awareness requires the acquisition, representation and processing of information that goes beyond raw context data – like device features, network status and user location – to include semantically rich data such as the current activity and interests of users. Representing and reasoning with the latter class of data require the use of ontologies and ontological reasoning. It is well known that reasoning with ontologies poses significant performance issues. The CARE hybrid reasoning mechanism is based on a loose interaction between ontological reasoning and efficient reasoning in a restricted logic programming language. In this paper we illustrate the hybrid reasoning approach adopted by CARE and report the extensive experimental results on ontology-based context reasoning that support our approach.
52 citations