A Body Sensor Platform for concurrent applications

Bui, Vinh; Verhoeven, Richard; Lukkien, Johan J.

doi:10.1109/icce-berlin.2012.6336468

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…The case has been built around a body sensor platform (BSP), described in detail by [32], on which several body sensor network applications are installed dynamically. The BSP is self-contained and designed to host multiple applications, sharing data with each other.…”

Section: Case Study: Plug-and-play Monitoringmentioning

confidence: 99%

Semantic interoperability in sensor applications making sense of sensor data

Brandt

Basten

Stuiik

et al. 2013

2013 IEEE Symposium on Computational Intelligence in Healthcare and E-Health (CICARE)

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Abstract-Much effort has been spent on the optimization of sensor networks, mainly concerning their performance and power efficiency. Furthermore, open communication protocols for the exchange of sensor data have been developed and widely adopted, making sensor data widely available for software applications. However, less attention has been given to the interoperability of sensor networks and sensor network applications at a semantic level. This hinders the reuse of sensor networks in different applications and the evolution of existing sensor networks and their applications. The main contribution of this paper is an ontology-based approach and architecture to address this problem. We developed an ontology that covers concepts regarding examinations as well as measurements, including the circumstances in which the examination and measurement have been performed. The underlying architecture secures a loose coupling at the semantic level to facilitate reuse and evolution. The ontology has the potential of supporting not only correct interpretation of sensor data, but also ensuring its appropriate use in accordance with the purpose of a given sensor network application. The ontology has been specialized and applied in a remote patient monitoring example, demonstrating the aforementioned potential in the e-health domain.

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Section: Case Study: Plug-and-play Monitoringmentioning

confidence: 99%

Semantic interoperability in sensor applications making sense of sensor data

Brandt

Basten

Stuiik

et al. 2013

2013 IEEE Symposium on Computational Intelligence in Healthcare and E-Health (CICARE)

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“…sensor data) and their respective meanings (ontologies). This approach is similar to the architecture in [3], albeit a more formal application ontology is employed. The use of the centralized database may facilitate the data access control and management, but it has some issues.…”

Section: Data Storage and Sharingmentioning

confidence: 99%

“…Instead of using the database schema as in [3], the OWL DL ontology language is used to implement the application ontology. The high expressiveness of the ontology language provides a more accurate and precise representation of the domain knowledge, which limits the ambiguity during knowledge sharing.…”

Section: Semantic Expressivenessmentioning

confidence: 99%

“…Section 5 concludes the paper. Figure 1 shows the architecture of the VITRUVIUS system that was proposed in [3]. The system consists of body sensors together with a more powerful device (body hub) that is equipped with VITRUVIUS software platform.…”

Section: Introductionmentioning

confidence: 99%

“…In [3], we proposed a generic BASN platform named VIT-RUVIUS (see Figure 1), which integrates multiple sensors and handles different sensor configurations, allows BASN applications to be installed dynamically and run concurrently. A benefit of a platform like VITRUVIUS is that it provides capabilities for reuse and evolution of existing sensor networks and applications, and for extensions by adding new sensors and applications.…”

Section: Introductionmentioning

confidence: 99%

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Semantic Interoperability in Body Area Sensor Networks and Applications

Bui

Brandt

Liu

et al. 2014

Proceedings of the 9th International Conference on Body Area Networks

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Crucial to the success of Body Area Sensor Networks is the flexibility with which stakeholders can share, extend and adapt the system with respect to sensors, data and functionality. The first step is to develop an interoperable platform with explicit interfaces, which takes care of common management tasks. Beyond that, interoperability is defined by semantics. This paper presents the analysis, design, implementation and evaluation of a semantic layer within an existing BASN platform for the purpose of improving the semantic interoperability among sensor networks and applications. We adopt an ontology-based approach but rather than having a single overall ontology, we find that using clear semantic domains and mappings between them improves composability and reduces interoperability problems. We discuss the design choices and a reference implementation on an Android phone and actual sensor devices. We show by a qualitative evaluation that this semantic interoperability indeed provides significant improvements in flexibility.

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