Christina Halmich, BSc, MSc
| Position: | Data Scientist |
| Department: | Human Motion Analytics |
| Telephon: | +43/662/2288-423 |
| E-Mail: | Send an e-mail |
- Stefan Kranzinger, Christina Halmich, Dominik Hofer, Christina Kranzinger (2025): A scoping review of explainable artificial intelligence in sports science. In: Discover Artificial Intelligence.
- 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, 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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