Publications
Filtered:
Ordered by year and author
2025
Dumphart, B., Slijepcevic, D., Unglaube, F., Kranzl, A., Alexander, N., Dobler, F., Franco-Carvalho, M., Armand, S., Leboeuf, F., Baca, A., & Horsak, B. (2025). A multicenter evaluation of a machine learning-based gait event detection algorithm. Gait & Posture, 117, S10–S11. https://doi.org/10.1016/j.gaitpost.2025.01.049
Eichwalder, J., Kaufmann, P., Mandl, T., Horsak, B., Baca, A., & Kainz, H. (2025). Assessing the Impact of Virtual Reality on Lower Limb Muscle Synergies: A Comparison with Real-World Movement. Gait & Posture, 117, S11–S12. https://doi.org/10.1016/j.gaitpost.2025.01.050
Horsak, B. (2025, August 7). Perspective Talk:. Breaking barriers in human motion capture with ai-powered low-cost markerless systems. ESB 2025 Congress. European Society of Biomechanics, Zürich, CH.
Horsak, B., Krondorfer, P., Unglaube, F., Slijepčević, D., & Kranzl, A. (2025). Feasibility of fully automated and semi-personalized musculoskeletal simulations to process large-scale gait datasets. Gait & Posture, 117, S18–S19. https://doi.org/10.1016/j.gaitpost.2025.01.059
Koller, W., Horsak, B., Kranzl, A., Unglaube, F., Baca, A., & Kainz, H. (2025). Physiological plausible muscle paths: A MATLAB tool for detecting and resolving muscle path discontinuities in musculoskeletal OpenSim models. Gait & Posture, 117, S21–S22. https://doi.org/10.1016/j.gaitpost.2025.01.063
Kranzl, A., Unglaube, F., Horsak, B., Slijepčević, D., & Dumphart, B. (2025). What are the kinematic and kinetic effects of using different methods to determine gait events? Gait & Posture, 117, S22–S23. https://doi.org/10.1016/j.gaitpost.2025.01.065
Kranzl, A., Stief, F., Böhm, H., Alexander, N., Bracht-Schweizer, K., Hartmann, M., Hösl, M., Trinler, U., Widhalm, K., & Horsak, B. (2025). Recommendations of the GAMMA association for the standardization of clinical movement analysis laboratories. Gait & Posture, 117, 7–15. https://doi.org/10.1016/j.gaitpost.2024.11.018
Thajer, A., Vasek, M., Schneider, S., Kautzky-Willer, A., Kainberger, F., Durstberger, S., Kranzl, A., Horsak, B., & Greber-Platzer, S. (2025). Comparing Bioelectrical Impedance Analysis, Air Displacement Plethysmography, and Dual-Energy X-Ray Absorptiometry for Body Composition in Pediatric Obesity. Nutrients, 17(6), 971. https://doi.org/10.3390/nu17060971
2024
Armand, S., Sawacha, Z., Goudriaan, M., Horsak, B., van der Krogt, M., Huenaerts, C., Daly, C., Kranzl, A., Boehm, H., Petrarca, M., Guiotto, A., Merlo, A., Spolaor, F., Campanini, I., Cosma, M., Hallemans, A., Horemans, H., Gasq, D., Moissenet, F., … Sangeux, M. (2024). Current practices in clinical gait analysis in Europe: A comprehensive survey-based study from the European society for movement analysis in adults and children (ESMAC) standard initiative. Gait & Posture, 111, 65–74. https://doi.org/10.1016/j.gaitpost.2024.04.014
Dindorf, C., Horst, F., Slijepcevic, D., Dumphart, B., Dully, J., Zeppelzauer, M., Horsak, B., & Fröhlich, M. (2024). Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running and Sports Movements (pp. 91–148). https://doi.org/10.1007/978-3-031-76047-1_4
Dumphart, B., Djordje, S., Unglaube, F., Kranzl, A., Baca, A., & Horsak, B. (2024). The impact of initial contact events on kinematics in pathological gait - Preliminary results of an ongoing study. Gait & Posture, 113, 54–55. https://doi.org/10.1016/j.gaitpost.2024.07.067
Eichwalder, J., Kaufmann, P., Mandl, T., Horsak, B., & Kainz, H. (2024). The effects of virtual reality on muscle synergies during walking and balancing in healthy adults. Gait & Posture, 113, 55–56. https://doi.org/10.1016/j.gaitpost.2024.07.068
Guggenberger, B., Horsak, B., Habersack, A., Kruse, A., Smith, C. R., Kainz, H., & Svehlik, M. (2024). Patient-specific gait pattern in individuals with patellofemoral instability reduces knee joint loads. Scientific Reports, 14(1), 1–11. https://doi.org/10.1038/s41598-024-79021-x
Horsak, B., Prock, K., Krondorfer, P., Siragy, T., Simonlehner, M., & Dumphart, B. (2024). Inter-trial variability is higher in 3D markerless compared to marker-based motion capture: Implications for data post-processing and analysis. Journal of Biomechanics, 112049. https://doi.org/10.1016/j.jbiomech.2024.112049
Horsak, B., Prock, K., & Dumphart, B. (2024). Inter-session repeatability of a Smartphone-based 3D Markerless system to assess joint Kinematics for walking and a sit-to-stand task. Gait & Posture, 113, 95–96. https://doi.org/10.1016/j.gaitpost.2024.07.110
Horsak, B., Puhr, M., Prock, K., Simonlehner, M., & Dumphart, B. (2024). To undress or not: Effects of clothing conditions on smartphone-based 3D markerless motion capture. Gait & Posture, 113, 96–97. https://doi.org/10.1016/j.gaitpost.2024.07.111
Horsak, B., Kainz, H., & Dumphart, B. (2024). Repeatability and minimal detectable change including clothing effects for smartphone-based 3D markerless motion capture. Journal of Biomechanics, 112281. https://doi.org/10.1016/j.jbiomech.2024.112281
Horsak, B., Durstberger, S., Krondorfer, P., Thajer, A., Greber-Platzer, S., & Kranzl, A. (2024). Which method should we use to determine the hip joint center location in individuals with a high amount of soft tissue? Clinical Biomechanics, 0(0). https://doi.org/10.1016/j.clinbiomech.2024.106254
Horst, F., Slijepcevic, D., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Explainable artificial intelligence for walking speed classification from vertical ground reaction forces. Gait & Posture, 113, 215–216. https://doi.org/10.1016/j.gaitpost.2024.07.232
Janeh, O., Matsumto, K., & Horsak, B. (2024). Editorial: The role of perceptual manipulations of XR in neurological rehabilitation. Frontiers in Virtual Reality, 5. https://doi.org/10.3389/frvir.2024.1472756