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Training Simulation with Nothing but Training Data

  • 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.

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Metadaten
Document Type:Conference Object
Language:English
Author:Melanie Ludwig, David Schaefer, Alexander Asteroth
Subtitle (English):Simulating Performance based on Training Data Without the Help of Performance Diagnostics in a Laboratory
Parent Title (English):Correia, Cabri (Eds.): Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2016). November 7-9, 2016, in Porto, Portugal
First Page:75
Last Page:82
ISBN:978-989-758-205-9
DOI:https://doi.org/10.5220/0006042900750082
Publisher:SciTePress
Publication year:2016
Keyword:Field Study; Model Fitting; Performance Simulation; Training Model
Departments, institutes and facilities:Fachbereich Informatik
Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2016/12/02