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Towards an Innovative Model in Wearable Expert System for Skiing

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Metadata and Semantic Research (MTSR 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1355))

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Abstract

Mobile applications and portable devices are being used extensively in the healthcare sector due to their rapid development. Wearable devices having sensors can be used to collect, analyze, and transmit the vital signs of the wearer. In this paper, we have proposed a wearable expert system that supports and monitors the skier during his activity. This research work is motivated by the need to provide rapid assistance to skiers, especially during off-piste skiing, where its more dangerous, and seeking help is difficult with mishaps. Our approach mainly focuses on proposing an expert system that integrates wearable devices (helmet, goggles, digital watch) with the skier’s smartphone. We present an architecture model and knowledge artifacts to design a wearable expert system for skiing.

E. Kurian, S. Varghese and S. Fiorini—Equal contribution.

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Author information

Authors and Affiliations

  1. University of Milano-Bicocca, Viale Sarca 336, 20136, Milan, Italy

    Elson Kurian & Stefano Fiorini

  2. SAP Labs Rd, EPIP Zone, Whitefield, Bengaluru, 560066, Karnataka, India

    Sherwin Varghese

Authors
  1. Elson Kurian
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  2. Sherwin Varghese
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  3. Stefano Fiorini
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Corresponding authors

Correspondence to Elson Kurian , Sherwin Varghese or Stefano Fiorini .

Editor information

Editors and Affiliations

  1. International Hellenic University, Thessaloniki, Greece

    Emmanouel Garoufallou

  2. Complutense University of Madrid, Madrid, Spain

    María-Antonia Ovalle-Perandones

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Kurian, E., Varghese, S., Fiorini, S. (2021). Towards an Innovative Model in Wearable Expert System for Skiing. In: Garoufallou, E., Ovalle-Perandones, MA. (eds) Metadata and Semantic Research. MTSR 2020. Communications in Computer and Information Science, vol 1355. Springer, Cham. https://doi.org/10.1007/978-3-030-71903-6_37

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  • DOI: https://doi.org/10.1007/978-3-030-71903-6_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71902-9

  • Online ISBN: 978-3-030-71903-6

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