Mag.ᵃ Dr.in Christina Kranzinger, B.Stat. MSc
| Position: | Data Scientist |
| Bereich: | Human Motion Analytics |
| Telefon: | +43/662/2288-252 |
| E-Mail: | E-Mail schreiben |
Dr.in
- 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.
- 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.
- 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
- 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.
- Laura Eisenberger, Barbara Mayr, Maximilian Beck, Verena Venek, Christina Kranzinger, Andrea Menzl, Inga Jahn, Mahdi Sareban, Renate Oberhoffer-Fritz, Josef Niebauer and Birgit Böhm (2022): Assessment of Exercise Intensity for Uphill Walking in Healthy Adults Performed Indoors and Outdoors In: International Journal of Environmental Research and Public Health
- 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
- Bernhart, S., Venek, V., Kranzinger, C., Kremser, W., & Martínez, A. (2022): Data-driven Cut-off Frequency Optimization for Biomechanical Sensor Data Pre-Processing. In: Data Science–Analytics and Applications (pp. 20-25). Springer Vieweg, Wiesbaden
- Laura Eisenberger, Barbara Mayr, Maximilian Beck, Verena Venek, Christina Kranzinger, Andrea Menzl, Inga Jahn, Mahdi Sareban, Renate Oberhoffer-Fritz, Josef Niebauer, Birgit Böhm (2022): Development and validation of a 1-km cardio-trekking test to estimate cardiorespiratory fitness in healthy adults. In: Preventive Medicine Reports 30 (2022) 102039.
- 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
- Verena Venek; Christina Kranzinger; Sonja Jungreitmayr; Susanne Ring-Dimitriou; Hermann Schwameder; Thomas Stöggl (2022): Influence of 2 Digital Exercise Modules of a Multimodular System on Balance and Leg Strength Under Consideration of Use Adherence: Prospective Cohort Study. In: JMIR Formative Research
- Kranzinger, Christina; Venek, Verena; Rieser, Harald; Jungreitmayr, Sonja; Ring-Dimitriou, Susanne (2022): Data-Driven User-Type Clustering of a Physical Activity Promotion App: Usage Data Analysis Study Data-Driven User-Type Clustering of a Physical Activity Promotion App: Usage Data Analysis Study. In: JMIR Formative Research.
- Barbara Mayr, Maximilian Beck, Laura Eisenberger, Verena Venek, Christina Kranzinger, Andrea Menzl, Bernhard Reich, Veronika Hornung-Prähauser, Renate Oberhoffer-Fritz, Birgit Böhm, Josef Niebauer (2022): Valorization of Natural Cardio Trekking Trails Through Open Innovation for the Promotion of Sustainable Cross-generational Health-Oriented Tourism in the Connect2Move Project: Protocol for a Cross-sectional Study. In: JMIR Research Protocols Vol 11, No 7 (2022).
- Sonja Jungreitmayr, Christina Kranzinger, Verena Venek and Susanne Ring-Dimitriou (2022): Effects of an App-Based Physical Exercise Program on Selected Parameters of Physical Fitness of Females in Retirement: A Randomized Controlled Trial In: Frontiers in Physiology, 13, 2022.
- Severin Bernhart, Verena Venek, Christina Kranzinger, Wolfgang Kremser, Aaron Martínez (2021): Data-driven Cut-off Frequency Optimization for Biomechanical Sensor Data Pre-Processing. In: International Data Science Conference 2021, Wien
- Stephanie R. Moore, Christina Kranzinger, Gerda Strutzenberger, Magdalena Taudes, Aaron Martínez Álvarez, Hermann Schwameder, Josef Kröll (2021): Laboratory versus Ecological Running: A Comparison of Foot Strike Angle and Pattern Estimation. In: 39th Conference of the International Society of Biomechanics in Sports.
- Stephanie R. Moore, Christina Kranzinger, Julian Fritz, Thomas Stӧggl, Josef Krӧll and Hermann Schwameder (2020): Foot Strike Angle Prediction and Pattern Classification Using LoadsolTM Wearable Sensors: A Comparison of Machine Learning Techniques In: Sensors 2020, 20(23)
- VENEK, V, NEUWIRTH, C., JUNGREITMAYR, S, RING-DIMITRIOU, S (2020): INFLUENCE OF A PERSONALIZED DIGITAL HOME TRAINING ON LEG STRENGTH OF OLDER ADULTS In: Book of Abstracts of the 25th Annual Congress of the European College of Sport Science
- MARTINEZ-ALVAREZ, A., SNYDER, C., NEUWIRTH, C., STÖGGL, T. (2020): CLASSIFICATION OF ALPINE SKIERS SKILL LEVEL USING SMARTPHONE DATA In: Book of Abstracts of the 25th Annual Congress of the European College of Sport Science
- Moore, S R; Kranzinger, C; Taudes, ; Stöggl, T; Kröll, J; Strutzenberger, G; Schwameder, H (2020): Prediction and classification of foot strike during running using the LoadsolTM insole pressure sensors: An ecologically-valid follow-up study In: Book of Abstracts of the 25th Annual Congress of the European College of Sport Science
- Christina Neuwirth, Cory Snyder, Wolfgang Kremser, Richard Brunauer, Helmut Holzer, Thomas Stöggl (2020): Classification of Alpine Skiing Styles Using GNSS and Inertial Measurement Units In: Sensors 2020, 20(15), 4232
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