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Oliver Jung, Eva Hollauf, Veronika Hornung-Prähauser, Tess den Uyl, Kasper van Zon (2023):
Promoting Healthy Aging Using a Robot Support System and Emotion Recognition
In: Studies in Health Technology and Informatics, Volume 301: dHealth 2023.
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Sebastian Gruber, Bernd Neumayr, Daniela Wurhofer, Jan David Smeddinck (2023):
Usability Testing of a Multi-Level Modeling Framework for Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health
In: Studies in Health Technology and Informatics, Volume 301: dHealth 2023
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Thorwartl, C., Tschepp, A., Lasshofer, M., Holzer, H., Stöggl, T. (2023):
Analysis of Ski-Snow Interaction in Relation to Lean Angle, Radial Force and Curvature in Soft and Hard Slope Conditions.
In: In Proceedings of 9th International Congress on Science and Skiing, Saalbach-Hinterglemm, Austria, 18–22 March 2023; pp. 12–13.
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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.
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Michael Spitzhirn, Martin Benter, Christoph Heindl, Noël Scheder, Felix Strohmeier, Wernher Behrendt (2023):
Hybrid Work Systems – Plattformbasierte Arbeitsplanung zur Gestaltung produktiver und ergonomischer Arbeitsprozesse
In: Gesellschaft für Arbeitswissenschaft (Hrsg.) Frühjahrskongress 2023, Hannover. Nachhaltig Arbeiten und Lernen - Analyse und Gestaltung lernförderlicher und nachhaltiger Arbeitssysteme und Arbeits- und Lernprozesse (1-6, Beitrag B.5.8)
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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
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Veronika Hornung-Prähauser, Eva Hollauf, Elisabeth Häusler (2022):
”Digital MountAIn”: Initiating an open innovation ecosystem for data-driven alpine tourism and sports industry in Austria Experience with the ecosystem pie model method (EPM)
In: 9th World Open Innovation Conference, 15-16 November 2022
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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
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Sebastian Gruber, Bernd Neumayr, Jan David Smeddinck (2022):
Towards integration-preserving customization of just-in-time adaptive interventions with composite clabjects in RDF and SHACL.
In: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings
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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.
