cff-version: 1.2.0
abstract: "This dataset contains data collected during fatigue detection experiments in running using IMUs.Subjects underwent a fatiguing protocol consisting of three distinct consecutive runs on an athletic track:
1. The first run consisted of a 4000 m run (10 laps) at a constant speed, determined as 100% of the average speed of the subject during the best performance in the previous year on a 5 to 10 km race;
2. The second run was performed according to a fatiguing protocol. The speed in this fatiguing protocol started at the same level of the first run and increased progres-sively of by 0.2km/h every 100 m. Perceived fatigue was assessed by means of a Borg Rating of Perceived Extertion (RPE) Scale (min-max score 6-20) [20], asked to the runner every 100 m. The fatiguing protocol was terminated once the RPE was higher than 16 (RPE between hard and very hard) , or, if such requirement was not met, after 1200m;
3. The third run consisted of a 1200m run (3 laps), in which speed was kept constant and equal to the first 4000 m run.
pXXX_XXX_0-2K: contains the Segment and Joint data exported from MVN for the first half of the first run
pXXX_XXX_2-4K: contains the Segment and Joint data exported from MVN for the second half of the first run
pXXX_XXX_postfatigue1200m: : contains the Segment and Joint data exported from MVN for the third run
pXXX_strides: contains the segmented strides from each subject
TableFeats: contains values used for the machine learning pipeline, after normalization over each single subject
"
authors:
- family-names: Marotta
given-names: Luca
orcid: "https://orcid.org/0000-0002-2269-298X"
title: "Dataset underlying the research on physical fatigue detection in running using inertial measurement units (IMUs)"
keywords:
version: 1
identifiers:
- type: doi
value: 10.4121/14307743.v1
license: CC BY-NC-ND 4.0
date-released: 2021-03-29