Supporting Content, Context and User Awareness in Future Internet Applications

Świątek, Piotr; Juszczyszyn, Krzysztof; Brzostowski, Krzysztof; Drapała, Jarosław; Grzech, Adam

doi:10.1007/978-3-642-30241-1_14

Cited by 24 publications

(13 citation statements)

References 11 publications

(7 reference statements)

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“…The IP QoS infrastructure and all applications presented in this work are the result of the IIP project [20]. The ongoing research efforts are devoted to the further integration of service-based applications within this scheme and the testing of new software-building paradigms and concepts stemming from service customization and composition approach.…”

Section: Summary and Future Workmentioning

confidence: 99%

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Development of Intelligent eHealth Systems in the Future Internet Architecture

Świątek

Brzostowski

Drapała

et al. 2015

Innovative Technologies in Management and Science

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Abstract. One of the most important directions in the development of eHealth systems is their personalization. Body area networks with wireless sensors and portable access devices allow one to design applications for supporting people in their daily activities. On the other hand, they require substantial data analysis and processing which are inherent features of the medical domain. We describe few service-based applications utilizing a Future Internet architecture which supports QoS guarantees for the communication between their components and also show how they can benefit from its features such as quality of service (QoS) provisioning and resources reservation. We demonstrate how proposed applications address content, context and user awareness based on the underlying Next Generation Network (NGN) infrastructure and give examples of decision-making tasks performed by applications. IntroductionComposition of Body Area Networks systems with the use of wireless sensors and smartphones makes it possible to:• perform vital sign measurements "anywhere and anytime"; • process measurement data on the smartphone or in a computer centre that provides services via a network.These possibilities enable one to design intelligent eHealth applications. Roughly speaking, we understand the intelligence of the eHealth application as:• distributed measurement data acquisition and processing;• decision-making support; • ability to compose services tailored to the needs of users and the profile (context, content and user awareness)./indexuser awareness All of the above require integration of service composition approaches with the communication QoS guarantees provided by the NGN infrastructure. For that reason, the eHealth domain was chosen to demonstrate the applicability of our approach. Recently, both commercial and research teams develop solutions for supporting the everyday life of individuals (for professional and recreational purposes). Such systems provide wireless measurements of vital signs and tools to process them in order to support training and monitoring of one's state of health. In the commercial fields of applications Polar 1 belongs to the most important companies offering wearable devices and data processing tools. Wristwatches and chest-worn heart rate sensors are used to measure and present data to the user. Polar provides equipment for fitness improvement and for performance maximization. These devices are used in motivational feedback (i.e. generate beeps every time a certain amount of calories is burnt). It is useful in preventing injuries and overtraining. Moreover, Polar's software provides tools to optimize training intensity. Suunto 2 provides devices that generate a personalised training plan. These devices are capable of making recommendations for training volume (i.e. the frequency, duration and intensity). Additionally, a proposed training plan may be adjusted to the user's current capabilities (i.e. when user's activity level decreases).The miCoach 3 product from Adidas is an advanced training tool ...

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Section: Summary and Future Workmentioning

confidence: 99%

“…The task that the patient performs is associated with a use-case scenario which further imposes the choice of services and their parameters (context awareness). Moreover, some data, such as personal health records and blood glucose level measurements, have to be encrypted when transferred through the network (content awareness) [20].…”

Section: Ediabmentioning

confidence: 99%

Development of Intelligent eHealth Systems in the Future Internet Architecture

Świątek

Brzostowski

Drapała

et al. 2015

Innovative Technologies in Management and Science

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“…In particular, in our proposal of the architecture we enhance service stratum functionalities of new components comparing with current NGN recommendations [5], [6]. Within the project we consider the following service control function (SCF) components: Monitoring and public security service component (MobiWatch application component); Home networks service component (HomeNetEnergy application component); E-health service component (Universal Communication Platform -UCP) [11]; E-learning service component.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, we focus mainly on Future Internet application group named Internet of Things (IoT) applications, which use sensors e.g. e-health applications: for patient health monitoring, sportsman training monitoring [11]; home energy monitoring; public security monitoring, video surveillance. In the trials we will also test e-learning application with HD (High Definition) video conferencing.…”

Section: Introductionmentioning

confidence: 99%

On the signaling system in the IPv6 QoS Parallel Internet

Tarasiuk

Rogowski

2012

2012 8th International Symposium on Communication Systems, Networks &Amp; Digital Signal Processing (CSNDSP)

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In this paper we provide an overview of the signaling system that we implemented in the IPv6 QoS Parallel Internet. This Parallel Internet has been proposed as one of Parallel Internets of the IIP System developed in scope of Future Internet Engineering project. The aim of the signaling system of the IPv6 QoS Parallel Internet is to perform call setup/release for assuring end-to-end QoS (Quality of Service) guarantees for selected data streams. For this purpose the proposed system follows current IETF and NGN (Next Generation Networks) recommendations. However, there are no detailed recommendations about the complete procedures in such signaling system of NGN architecture. Therefore, in this paper we propose the following procedures as exemplary scenarios: resource reservation call flow, resource termination call flow, notify/abort call flow. We also provide a sample usage of service stratum and transport stratum interface.

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“…On the basis of the model analysis, advices concerning the user's health state and safety issues are generated. Such a model based prediction plays an important role in element of personalization and context-awareness systems [27,28] .…”

Section: A Sensorsmentioning

confidence: 99%

Data-Driven Models for eHealth Applications

Brzostowski

Drapała

Świątek

2013

IJCSAI

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Abstract-Mathematical model delivered both from knowledge of a system and from experimental data may provide additional information about the system under consideration. This information may be further exploited for different purposes, such as prediction, diagnosis, decision making and system control. Data-driven models have been found to be particularly useful in assessment of some human abilities in sport and medicine. We demonstrate the usefulness of data-driven models in custom eHealth application.

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Supporting Content, Context and User Awareness in Future Internet Applications

Cited by 24 publications

References 11 publications

Development of Intelligent eHealth Systems in the Future Internet Architecture

Development of Intelligent eHealth Systems in the Future Internet Architecture

On the signaling system in the IPv6 QoS Parallel Internet

Data-Driven Models for eHealth Applications

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