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2021 | OriginalPaper | Chapter

Discovering the Influence of Interruptions in Cycling Training: A Data Science Study

Authors : Alen Rajšp, Iztok Fister Jr.

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

The usage of wearables in different sports has resulted in the potential of recording vast amounts of data that allow us to dive even deeper into sports training. This paper provides a novel approach to classifying stoppage events in cycling, and shows an analysis of interruptions in training that are caused when a cyclist encounters a road intersection where he/she must stop while cycling on the track. From 2,629 recorded cycling training sessions 3,731 viable intersection events were identified on which analysis was performed of heart-rate and speed data. It was discovered that individual intersections took an average of 4.08 s, affecting the speed and heart-rate of the cyclist before and after the event. We’ve also discovered that, after the intersection disruptions, the speed of the cyclist decreased and his heart-rate increased in comparison to his pre intersection event values.

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previous chapter The Problem of Tasks Scheduling with Due Dates in a Flexible Multi-machine Production Cell

next chapter Analysis of Complex Partial Seizure Using Non-linear Duffing Van der Pol Oscillator Model

Interruption factors marked with asterisk (*) were the ones monitored in our research.

When referring to values the same calculation was done for heart-rate and speed.

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Title: Discovering the Influence of Interruptions in Cycling Training: A Data Science Study
Authors: Alen Rajšp
Iztok Fister Jr.
Publisher: Springer International Publishing
Book: Computational Science – ICCS 2021
Print ISBN: 978-3-030-77969-6

Electronic ISBN: 978-3-030-77970-2

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-77970-2_32

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