Christina Halmich, BSc, MSc

Position:	Data Scientist
Department:	Human Motion Analytics
Telephon:	+43/662/2288-423
E-Mail:	Send an e-mail

Awards

Health Data Challenge

3rd place for team ‘SBG3’

Publications of the person

Christina Halmich, Oliver Jung, Mathias Schmoigl-Tonis, Christoph Schranz, Wolfgang Kremser, Beatrix Kunas, Anton Laireiter (2026): A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults In: scientific data
Lucas Höschler, Christina Halmich, Saša Cigoja, Martin Ullrich, Anne Koelewijn, Hermann Schwameder (2026): Running speed modulates joint kinetics and ground reaction forces during outdoor running: a wearable sensor study In: Current Issues in Sport Science (CISS), 11(3), 004
Christina Halmich, Oliver Jung, Mathias Schmoigl-Tonis, Christoph Schranz, Wolfgang Kremser, Beatrix Kunas, Anton-Rupert Laireiter (2026): A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults In: Zenodo
Wilson Lukmanjaya, Christina Halmich, Tony Butler, Darren Cook & George Karystianis (2026): Computational text analysis on unstructured police data: a scoping review In: Crime Science
Stefan Kranzinger, Christina Halmich, Dominik Hofer, Christina Kranzinger (2025): A scoping review of explainable artificial intelligence in sports science. In: Discover Artificial Intelligence.
Höschler, L., Halmich, C., Schranz, C., Koelewijn, A. D., & Schwameder, H. (2025): Evaluating the influence of sensor configuration and hyperparameter optimization on wearable-based knee moment estimation during running. In: International Journal of Computer Science in Sport, 24(2), 80–106.
Christina Halmich, Lucas Höschler, Christoph Schranz, Christian Borgelt (2025): Data augmentation of time-series data in human movement biomechanics: A scoping review In: PLOS One
Höschler, L., Halmich, C., Schranz, C., Fritz, J., Čigoja, S., Ullrich, M., Koelewijn, A. D., & Schwameder, H. (2025): Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network. In: Sports Biomechanics, 1–19.
Höschler, Lucas; Halmich, Christina; Schranz, Christoph; Fritz, Julian; Koelewijn, Anne; and Schwameder, Hermann (2024): TOWARDS REAL-TIME ASSESSMENT: WEARABLE-BASED ESTIMATION OF 3D KNEE KINETICS IN RUNNING AND THE INFLUENCE OF PREPROCESSING WORKFLOWS In: ISBS Proceedings Archive: Vol. 42: Iss. 1, Article 72.
Schranz, Christoph and Halmich, Christina and Mayr, Sebastian and Heib, Dominik P. J. (2024): Surrogate Modelling of Heartbeat Events for Improved J-peak Detection in BCG Using Deep Learning In: Frontiers in Network Physiology.
Christoph Schranz, Sebastian Mayr, Severin Bernhart, Christina Halmich (2024): Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization In: EURASIP Journal on Advances in Signal Processing.
Christoph Schranz, Sebastian Mayr, Severin Bernhart, Christina Halmich (2023): Nearest Advocate: A Novel Event-based Time Delay Estimation Algorithm for Multi-Sensor Time-Series Data Synchronization. Preprint (Version 1) available at Research Square.
Lucas Höschler, Christina Halmich, Christoph Schranz, Julian Fritz, Saša Čigoja, Martin Ullrich, Anne D. Koelewijn & Hermann Schwameder (): Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network In: Sports Biomechanics

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Christina Halmich, BSc, MSc

Awards

Health Data Challenge

Publications of the person

Wissensbilanz 2022 | 23

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