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Debertin Daniel – Universität Innsbruck

Debertin Daniel

Profilbild

Name: Daniel Debertin, MSc

Email: Daniel.Debertin[at]uibk.ac.at

phone number: +43 512 507 45838

Office location: HG-115

Tutorial hours: by arrangement

Address: Fürstenweg 185, 6020 Innsbruck

ORCID ID: https://orcid.org/0000-0002-3282-2688

Research area: Neurophysiology of exercise

Daniel was born and grew up in Karlsruhe, Germany. By the age of three, his parents put him on some kind of cross-country skis in the Black Forest. From that, he developed special interests in sports, mainly outdoor and winter sports.

Although he decided to study mechanical engineering at the Karlsruhe Institute of Technology (KIT), he always tried to link the technical perspective to the field of sports science. Therefore, his bachelor thesis dealt with reconstructing knee marker positions during gait analyses with orthoses. His master thesis then – conducted in Innsbruck at the Department of Sport Science – was about recognizing movement patterns and components in alpine skiing technique.

After finishing his studies, he worked for one year as a software developer, before he came back to Innsbruck to the “Neurophysiology Research Group” of Prof. Peter Federolf as a PhD student. Daniel now wants to follow and continue the chosen path by scientifically analysing technique in various sports combining it with his experiences in mechanical and software engineering.

Within different sports many descriptive terms, such as “keep rolling” while running, “pedal round” in cycling or “let the skis run”, evolved over time to express an effective execution. However, how this is done, how we move and what mechanisms we use, often remains uncertain and depends on a high number of influence factors. The movement strategies, that the human body in line with the neuromuscular system develops and adapts, can also be called technique, which is Daniel’s main research interest.

Particularly, methods and concepts to translate the subjective movement descriptions into quantitative and comparable measures, e.g. by analysing movement components of instructed technique guidelines, is one focus area. From a mechanical and software background this also includes research about motion capture systems and further development of the PManalyzer.

Current Teaching:

  • EX Langlauf

Past courses:

  • UE Biomechanische Messmethoden

Debertin, D., Wachholz, F., Mikut, R., & Federolf, P. (2022). Quantitative downhill skiing technique analysis according to ski instruction curricula: A proof-of-concept study applying principal component analysis on wearable sensor data. Frontiers in Bioengineering and Biotechnology, 10. https://doi.org/10.3389/fbioe.2022.1003619

Möhler, F., Ringhof, S., Debertin, D., & Stein, T. (2019). Influence of fatigue on running coordination: A UCM analysis with a geometric 2D model and a subject-specific anthropometric 3D model. Human movement science, 66, 133-141. https://doi.org/10.1016/j.humov.2019.03.016

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