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Ontological Sensor Selection for Wearable Activity Recognition

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Advances in Computational Intelligence (IWANN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9095))

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Abstract

Wearable activity recognition has attracted very much attention in the recent years. Although many contributions have been provided so far, most solutions are developed to operate on predefined settings and fixed sensor setups. Real-world activity recognition applications and users demand more flexible sensor configurations, which may deal with potential adverse situations such as defective or missing sensors. A novel method to intelligently select the best replacement for an anomalous or nonrecoverable sensor is presented in this work. The proposed method builds on an ontology defined to neatly describe wearable sensors and their main properties, such as measured magnitude, location and internal characteristics. SPARQL queries are used to retrieve the ontological sensor descriptions for the selection of the best sensor replacement. The on-body location proximity of the sensors is considered during the sensor search process to determine the most adequate alternative.

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Author information

Authors and Affiliations

  1. Research Center for Information and Communications Technologies of the University of Granada, C/Periodista Rafael Gomez Montero 2, Granada, Spain

    Claudia Villalonga, Hector Pomares &  Ignacio Rojas

  2. Department of Computer Engineering, Kyung Hee University, Seoul, Korea

    Oresti Banos

Authors
  1. Claudia Villalonga
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  2. Oresti Banos
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  3. Hector Pomares
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  4. Ignacio Rojas
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Corresponding author

Correspondence to Claudia Villalonga .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. Department of Electronics Technology, University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain

    Andreu Catala

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© 2015 Springer International Publishing Switzerland

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Villalonga, C., Banos, O., Pomares, H., Rojas, . (2015). Ontological Sensor Selection for Wearable Activity Recognition. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science(), vol 9095. Springer, Cham. https://doi.org/10.1007/978-3-319-19222-2_25

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  • DOI: https://doi.org/10.1007/978-3-319-19222-2_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19221-5

  • Online ISBN: 978-3-319-19222-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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