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Combining Data from Fitness Trackers with Meteorological Sensor Measurements for Enhanced Monitoring of Sports Performance

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Systematic analysis of training data has become an inherent element of building a sports condition and preparation for sports competitions. Today’s progress in the development of various fitness trackers, smart wearables and IoT devices allows monitoring the level of development of athletic abilities not only for professional athletes but also for sports enthusiasts and sports amateurs. Meteorological conditions prevailing on a given day can significantly affect the effectiveness of training and abilities of a person during sports competitions. However, in order to properly analyze particular sports achievements and the effectiveness of sports efforts, the training data from body sensors should be appropriately combined with weather sensor data. In this paper, we show that, due to approximate nature, this process can be implemented by using the fuzzy join technique.

Original languageEnglish
Title of host publicationComputational Science – ICCS 2019 - 19th International Conference, Proceedings
EditorsJoão M.F. Rodrigues, Pedro J.S. Cardoso, Jânio Monteiro, Roberto Lam, Valeria V. Krzhizhanovskaya, Michael H. Lees, Peter M.A. Sloot, Jack J. Dongarra
PublisherSpringer Verlag
Pages692-705
Number of pages14
ISBN (Print)9783030227432
DOIs
Publication statusPublished - 2019
Event19th International Conference on Computational Science, ICCS 2019 - Faro, Portugal
Duration: 12 Jun 201914 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11538 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Computational Science, ICCS 2019
Country/TerritoryPortugal
CityFaro
Period12/06/1914/06/19

Keywords

  • Data analysis
  • Fuzzy logic
  • Fuzzy sets
  • Human activity monitoring
  • IoT
  • Sensors
  • Smart devices

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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