Synthesizing Context for a Sports Domain on a Mobile Device

Devlić, Alisa; Koziuk, Michal; Horsman, Wybe

doi:10.1007/978-3-540-88793-5_16

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…In [5], the authors present an approach to address contextual synthesis of sensor networks in the sports domain. Sensor data, generated from a single sporting event, are kept in their proprietary raw format.…”

Section: Related Researchmentioning

confidence: 99%

Data transformation and query management in personal health sensor networks

Roantree

Song

Cappellari

et al. 2012

Journal of Network and Computer Applications

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Sensor technology has been exploited in many application areas ranging from climate monitoring, to traffic management, and healthcare. The role of these sensors is to monitor human beings, the environment or instrumentation and provide continuous streams of information regarding their status or well being. In the case study presented in this work, the network is provided by football teams with sensors generating continuous heart rate values during a number of different sporting activities. In wireless networks such as these, the requirement is for methods of data management and transformation in order to present data in a format suited to high level queries. In effect, what is required is a traditional database-style query interface where domain experts can continue to probe for the answers required in more specialised environments. The challenge arises from the gap that emerges between the low level sensor output and the high level user requirements of the domain experts. This paper describes a process to close this gap by automatically harvesting the raw sensor data and providing semantic enrichment through the addition of context data.

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Section: Related Researchmentioning

confidence: 99%

Data transformation and query management in personal health sensor networks

Roantree

Song

Cappellari

et al. 2012

Journal of Network and Computer Applications

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“…A recent research project that focused on sensor networks in the sporting domain is presented in [4]. They have a similar contextual platform to their experiment in that they treat a single sporting event as the basis for generating the sensor data.…”

Section: Related Researchmentioning

confidence: 99%

Using Sensor Networks to Measure Intensity in Sporting Activities

Roantree

Whelan

Song

et al. 2009

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. The deployment of sensor networks is both widespread and varied with more niche applications based on these networks. In the case study provided in this work, the network is provided by two football teams with sensors generating continuous heart rate values for the duration of the activity. In wireless networks such as these, the requirement is for complex methods of data management in order to deliver more and more powerful query results. In effect, what is required is a traditional database-style query interface where domain experts can continue to probe for the answers required in more specialised environments. This paper describes a system and series of experiments that requires powerful data management capabilities to meet the requirements of sports scientists.

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A Query Service for Raw Sensor Data

McCann

Roantree

2009

Lecture Notes in Computer Science

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Synthesizing Context for a Sports Domain on a Mobile Device

Cited by 4 publications

References 7 publications

Data transformation and query management in personal health sensor networks

Data transformation and query management in personal health sensor networks

Using Sensor Networks to Measure Intensity in Sporting Activities

A Query Service for Raw Sensor Data

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