Acta Marisiensis.
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Year 2024
Volume 21 (XXXVIII), no 1 Year 2023 Volume 20 (XXXVII), no 1 Volume 20 (XXXVII), no 2 Year 2022 Volume 19 (XXXVI), no 1 Volume 19 (XXXVI), no 2 Year 2021 Volume 18 (XXXV), no 1 Volume 18 (XXXV), no 2 Year 2020 Volume 17 (XXXIV), no 1 Volume 17 (XXXIV), no 2 Year 2019 Volume 16 (XXXIII), no 1 Volume 16 (XXXIII), no 2 Year 2018 Volume 15 (XXXII), no 1 Volume 15 (XXXII), no 2 Year 2017 Volume 14 (XXXI), no 1 Volume 14 (XXXI), no 2 Year 2016 Volume 13 (XXX), no 1 Volume 13 (XXX), no 2 Year 2015 Volume 12 (XXIX), no 1 Volume 12 (XXIX), no 2 Year 2014 Volume 11 (XXVIII), no 1 Volume 11 (XXVIII), no 2 Year 2013 Volume 10 (XXVII), no 1 Volume 10 (XXVII), no 2 Year 2012 Volume 9 (XXVI), no 1 Volume 9 (XXVI), no 2 Year 2011 Volume 8 (XXV), no 1 Volume 8 (XXV), no 2 Year 2010 Volume 7 (XXIV), no 1 Volume 7 (XXIV), no 2 Year 2009 Volume 6 (XXIII) |
2021, Volume 18 (XXXV), no 2
Dorina K. FERENCSIK and Erika B. VARGA, Institute of Information Science, University of Miskolc, HUNGARY Abstract: Our research aims at supporting personal cycling trainer applications in training planning and feedback giving to nonprofessional outdoor cyclists, based on a general reference. In this paper we present the created dataset. According to our present knowledge, this data collection is the first public dataset containing cycling activities recorded outdoor. Its usability for training planning and feedback giving is demonstrated through an example. The dataset is clustered according to age groups, considering distance and average speed as the two most influential features when predicting the time required for training. These clusters are then applied as references in feedback giving and goal setting. DOI: https://doi.org/10.2478/amset-2021-0015 Pages: 29-35 View full article |
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Update: 19-Jun-2024 | © Published by University Press |