An Approach to Data Fusion for Context Awareness

Padovitz, Amir; Loke, Seng W.; Zaslavsky, Arkady; Burg, Bernard; Bartolini, Claudio

doi:10.1007/11508373_27

Cited by 63 publications

(59 citation statements)

References 3 publications

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“…Padovitz et al propose in [99] an approach for situation classification based on Multi-Attribute Utility Theory (MAUT) sensor fusion. The technique computes a degree of support to the situation to be inferred according to the condition of the context state.…”

Section: Situation Assessmentmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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This survey aims to provide a comprehensive status of recent and current research on context-based Information Fusion (IF) systems, tracing back the roots of the original thinking behind the development of the concept of ''context''. It shows how its fortune in the distributed computing world eventually per-meated in the world of IF, discussing the current strategies and techniques, and hinting possible future trends. IF processes can represent context at different levels (structural and physical constraints of the scenario, a priori known operational rules between entities and environment, dynamic relationships modelled to interpret the system output, etc.). In addition to the survey, several novel context exploita-tion dynamics and architectural aspects peculiar to the fusion domain are presented and discussed.

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Section: Situation Assessmentmentioning

confidence: 99%

Context-based Information Fusion: A survey and discussion

2015

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“…We use a context space theory model shown in [10] for model fundamental nature of context and enable context and situation awareness for context processing. Our context model gives a common representation for context that all entities in the environment use of pervasive computing.…”

Section: A Formal Context Representation Modelmentioning

confidence: 99%

An Application of Context Middleware Based on Fuzzy Logic for Wireless Sensor Networks

Ye¹,

Wang²,

Ma³

et al. 2009

WSN

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The research of context-aware computing based on wireless sensor network (WSN) aims at intelligently connecting computers, users, and environment. So its application system should be flexibly adaptable to dynamic changes of context and application requirements and proactively provides the information satisfied with current context for users. The middleware can be very effective to provide the support runtime services for context-aware computing. In this paper we propose middleware architecture for context processing. This architecture is based on fuzzy logic control (FLC) system for context reasoning and sensor fusion. We propose a formal context representation model in which a user's context is described by a set of roles and relations correspond to a context space. A middleware prototype has been developed, which detect tourist' physical context and provide reminding. The experiments prove that the model and approach proposed are feasible.

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“…In Scatterbox, we do this by combining all ontologies for location sensors into one model, so as more location sensors are added, the complexity remains constant. Padovitz et al (2005) developed an approach to context fusion, in which a set of "context attributes", or raw sensor data, define "context states", which in turn define a "situation space". Algorithms for fusing uncertain context attributes to accurately derive situation spaces are also described.…”

Section: Related Workmentioning

confidence: 99%