Mag. Stefan Kranzinger, PhD MSc
| Position: | Data Scientist |
| Department: | Human Motion Analytics |
| Telephon: | +43/662/2288-313 |
| E-Mail: | Send an e-mail |
- Schranz, Christoph; Kranzinger, Stefan and Moore, Stephanie (2024): Synthetic Data for Foot Strike Angle Estimation Proceedings of the 12tInternational Conference on Sport Sciences Research and Technology Support. ISBN 978-989-758-719-1, pages 113-118.
- Stefan Kranzinger, Christina Kranzinger, Aaron Martinez Alvarez, Thomas Stöggl (2024): Development of a simple algorithm to detect big air jumps and jumps during skiing In: PLoS ONE 19(7): e0307255.
- Kranzinger C, Bernhart S, Kremser W, Venek V, Rieser H, Mayr S, Kranzinger S. (2023): Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping Review. In: Applied Sciences. 2023; 13(15):8684. https://doi.org/10.3390/app13158684
- Nils Haller, Stefan Kranzinger, Christina Kranzinger, Julia C. Blumkaitis, Tilmann Strepp, Perikles Simon, Aleksandar Tomaskovic, James O’Brien, Manfred Düring, Thomas Stöggl (2023): Predicting Injury and Illness with Machine Learning in Elite Youth Soccer: A Comprehensive Monitoring Approach over 3 Months. In: Journal of Sports Science and Medicine.
- Nina Baumgartner, Christina Kranzinger, Stefan Kranzinger, Cory Snyder, Thomas Stöggl, Bernd Resch (2023): A Comparison of Methods for Automatic Outlier Detection in Ergospirometric Data and Their Effect on the Performance of Predictive Models In: 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport.
- Nina Baumgartner, Christina Kranzinger, Stefan Kranzinger, Cory Snyder, Thomas Stöggl and Bernd Resch (2023): Detecting Outliers in Cardiopulmonary Exercise Testing Data of Ski Racers – A Comparison of Methods and their Effect on the Performance of Fatigue Prediction. In: International Journal of Computer Science in Sport
- Stefan Kranzinger, Sebastian Baron, Christina Kranzinger, Dominik Heib, Christian Borgelt (2023): Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test data. In: Behaviormetrika (2023).
- Christina Kranzinger, Aaron Martinez, Stefan Kranzinger, Thomas Stöggl (2023): Development of a simple algorithm to detect different types of freestyle jumps and jumps during skiing In: Abstract Book of the 9th International Congress on Science and Skiing.
- Kranzinger Stefan, Kranzinger Christina, Snyder Cory, Stöggl Thomas (2022): Predicting the rate of fatigue during skiing on a ski treadmill based on ergospirometric data. In: Book of Abstracts of the 27th Annual Congress of the European College of Sport Science
- Haller N, Blumkaitis JC, Strepp T, Schmuttermair A, Aglas L, Simon P, Neuberger E, Kranzinger C, Kranzinger S, O’Brien J, Ergoth B, Raffetseder S, Fail C, Düring M and Stöggl T (2022): Comprehensive training load monitoring with biomarkers, performance testing, local positioning data, and questionnaires – first results from elite youth soccer. In: Frontiers in Physiology
- Finkenzeller T, Burberg T, Kranzinger S, Harbour E, Snyder C, Würth S and Amesberger G (2022): Effects of physical stress in alpine skiing on psychological, physiological, and biomechanical parameters: An individual approach. In: Frontiers in Sports and Active Living.
- Verena Venek, Stefan Kranzinger, Hermann Schwameder, Thomas Stöggl (2022): Human Movement Quality Assessment Using Sensor Technologies in Recreational and Professional Sports: A Scoping Review. In: Sensors 2022, 22(13), 4786.
- Severin Bernhart, Stefan Kranzinger, Alexander Berger, Gerfried Peternell (2022): Ground Contact Time Estimating Wearable Sensor to Measure Spatio-Temporal Aspects of Gait. In: Sensors 2022, 22, 3132.
- Stefan Kranzinger and Markus Steinmaßl (2021): Which Aggregation Fits Best? In: Transportation Research Record: Journal of the Transportation Research Board.
- Wolfgang Kremser, Stefan Kranzinger, Severin Bernhart (2021): Design and Implementation of a Gesture-Aided E-Learning Platform. In: Sensors 2021, 21(23), 8042.
- Markus Steinmaßl, Stefan Kranzinger, Karl Rehrl (2021): Analyzing Travel Time Reliability from Sparse Probe Vehicle Data. A Case Study on the Effects of Spatial and Temporal Aggregation. In: Transportation Research Record: Journal of the Transportation Research Board
- Stefan Kranzinger und Sven Leitinger (2021): Eine Bestimmung der Oberflächenqualität von Fahrradinfrastruktur durch Smartphone-Beschleunigungsdaten mithilfe des k-means++-Algorithmus In: AGIT ‒ Journal für Angewandte Geoinformatik, 7-2021, S. 104-116.
- Karl Rehrl, Stefan Kranzinger, Markus Steinmaßl, Michael Wimmer (2020): Live Dabei – Echtzeit-Verkehrsdaten erfassung als Grundlage für ein effektives Verkehrsmanagement In: Zagel, Bernhard; Loidl, Martin (Hrsg.) Geo-IT in Mobilität und Verkehr Geoinformatik als Grundlage für moderne Verkehrsplanung und Mobilitätsmanagement. VDE Verlag.
- Rehrl, K., Kranzinger, S., & Gröchenig, S. (2020): Which quality is a route? A methodology for assessing route quality using spatio‐temporal metrics. In: Transactions in GIS. 2020; 00: 1– 28.
- Karl Rehrl, Simon Gröchenig, Stefan Kranzinger (2020): Why did a vehicle stop? A methodology for detection and classification of stops in vehicle trajectories In: International Journal of Geographical Information Science, 34:10, 1953-1979
Publications of the person
How to find us
Salzburg Research Forschungsgesellschaft
Jakob Haringer Straße 5/3
5020 Salzburg, Austria
Jakob Haringer Straße 5/3
5020 Salzburg, Austria
© 2024 Salzburg Research Certified EN ISO 9001