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Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection pp 37–44Cite as

Prediction System of Pollen Allergies in Mobile Devices

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 293))

Abstract

Although pollen allergies have a high incidence in society, it is not very common to use applications that provide data on pollen levels from different measuring points and also predict the allergies a user may experience. This paper introduces a system adapted to mobile devices that displays levels of pollen in the Spanish region of Castile and León in an easy way. The proposed system also processes the information provided by users about their health, and uses the historical data of pollen to detect and estimate allergies. The system incorporates an algorithm based on statistical tests to carry out the detection of allergies.

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Author information

Authors and Affiliations

  1. Departamento de Informática y Automática, Universidad de Salamanca, Plaza de la Merced, s/n, 37008, Salamanca, España

    Daniel Hernández & Ana de Luis

  2. Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, Osaka, 535-8585, Japan

    Sigeru Omatu

Authors
  1. Daniel Hernández
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  2. Ana de Luis
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  3. Sigeru Omatu
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Corresponding author

Correspondence to Daniel Hernández .

Editor information

Editors and Affiliations

  1. School of Informatics, Pontifical University of Salamanca, Salamanca, Spain

    Javier Bajo Perez

  2. Department of Computing Science and Control, University of Salamanca, Salamanca, Spain

    Juan M. Corchado Rodríguez

  3. Lille University of Science and Technology, Villeneuve d’Ascq, France

    Philippe Mathieu

  4. Department of Computer Science, Dartmouth College, Hanover, New Hampshire, USA

    Andrew Campbell

  5. Superior Technical School of Computer Engineers, Autonomous University of Madrid, Madrid, Spain

    Alfonso Ortega

  6. LAMIH (UMR CNRS 8530), University of Valenciennes, Valenciennes, France

    Emmanuel Adam

  7. Department of Technology and Information Systems, University of Castilla-La Mancha, Albacete, Albacete, Spain

    Elena M. Navarro

  8. Fakultät IV Electrical Engineering and Computer Science, Technical University of Berlin, Berlin, Berlin, Germany

    Sebastian Ahrndt

  9. Department of Computing Science and Control, Universidad de Salamanca, Salamanca, Salamanca, Spain

    María N. Moreno

  10. Department of Information Systems and Computing, Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

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© 2014 Springer International Publishing Switzerland

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Hernández, D., de Luis, A., Omatu, S. (2014). Prediction System of Pollen Allergies in Mobile Devices. In: Bajo Perez, J., et al. Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. Advances in Intelligent Systems and Computing, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-07476-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-07476-4_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07475-7

  • Online ISBN: 978-3-319-07476-4

  • eBook Packages: EngineeringEngineering (R0)

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