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

Publikationen der Person

Christina Kranzinger, Stefan Kranzinger, Eva Hollauf, Harald Rieser, Thomas Stöggl (2024): Skiing quality analysis of recreational skiers based on IMU data and self-assessment In: Frontiers in Sports and Active Living, 24 December 2024 Sec. Sports Science, Technology and Engineering Volume 6 - 2024 | https://doi.org/10.3389/fspor.2024.1495176 .
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