Authors:
Melanie Ludwig
;
David Schaefer
and
Alexander Asteroth
Affiliation:
Bonn-Rhein-Sieg University o.A.S., Germany
Keyword(s):
Training Model, Performance Simulation, Model Fitting, Field Study.
Related
Ontology
Subjects/Areas/Topics:
Applied Physiology and Exercise
;
Computer Systems in Sports
;
Health and Fitness
;
Health, Sports Performance and Support Technology
;
Simulation and Mathematical Modeling
;
Sport Science Research and Technology
Abstract:
Analyzing training performance in sport is usually based on standardized test protocols and needs laboratory
equipment, e.g., for measuring blood lactate concentration or other physiological body parameters. Avoiding
special equipment and standardized test protocols, we show that it is possible to reach a quality of performance
simulation comparable to the results of laboratory studies using training models with nothing but training data.
For this purpose, we introduce a fitting concept for a performance model that takes the peculiarities of using
training data for the task of performance diagnostics into account. With a specific way of data preprocessing,
accuracy of laboratory studies can be achieved for about 50% of the tested subjects, while lower correlation of
the other 50% can be explained.