Publikationen
Gefiltert nach:
Sortierung nach Jahr und AutorInnen
2024
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., 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
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
Krondorfer, P., Slijepčević, D., Unglaube, F., Kranzl, A., Zeppelzauer, M., Kainz, H., & Horsak, B. (2024). Predicting knee contact forces in walking: A comparative study of machine learning models including a physics-informed approach. Gait & Posture, 113, 125–126. https://doi.org/10.1016/j.gaitpost.2024.07.140
Simonlehner, M., Dumphart, B., & Horsak, B. (2024). GaitRec-VR: 3D Gait Analysis for Walking Overground with and without a Head-Mounted-Display in Virtual Reality. Scientific Data, 11(1), 1099. https://doi.org/10.1038/s41597-024-03939-0
Simonlehner, M., de Jesus Oliveira, V. A., Prock, K., Iber, M., Horsak, B., & Siragy, T. (2024). Sonification can alter Joint Alignment for Personalized Rehabilitation: Evidence from a Controlled Pilot Study. Gait & Posture, 113, 212–213. https://doi.org/10.1016/j.gaitpost.2024.07.229
Siragy, T., Russo, Y., & Horsak, B. (2024). Mediolateral Margin of Stability highlights motor strategies for maintaining dynamic balance in older adults. PLOS ONE, 19(10), e0313034. https://doi.org/10.1371/journal.pone.0313034
Siragy, T., Russo, Y., & Horsak, B. (2024). Mediolateral margin of stability is larger in older than younger adults during the single-support phase. Gait & Posture, 113, 213–214. https://doi.org/10.1016/j.gaitpost.2024.07.230
Slijepcevic, D., Horst, F., Simak, M. L., Schöllhorn, W. I., Horsak, B., & Zeppelzauer, M. (2024). Decoding Gait Signatures: Exploring Individual Patterns in Pathological Gait using Explainable AI. IEEE Access, 1–1. https://doi.org/10.1109/ACCESS.2024.3513893
Slijepcevic, D., Krondorfer, P., Unglaube, F., Kranzl, A., Zeppelzauer, M., & Horsak, B. (2024). Predicting ground reaction forces in overground walking from gait kinematics using machine learning. Gait & Posture, 113, 214–215. https://doi.org/10.1016/j.gaitpost.2024.07.231
Teufl, G., Simonlehner, M., Prock, K., & Horsak, B. (2024). Comparing Jump Height Estimated From A Virtual Reality Head-Mounted-Display and Force plate. ISBS Proceedings Archive, 42, 922. https://commons.nmu.edu/isbs/vol42/iss1/213/
Totorean, A., Lancere, L., Horsak, B., Simonlehner, M., Stoia, D. I., Crisan-Vida, M., Moco, D., Fernandes, R., Gere, A., Sterckx, Y., Zulkarnain, A., Gal-Nadasan, N., & Stoia, A. (2024). Heart Rate and Surface Electromyography Analysis to Assess Physical Activity Using a Virtual-Reality Exergame. In N. Herisanu & V. Marinca (Eds.), Acoustics and Vibration of Mechanical Structures—AVMS-2023 (pp. 139–146). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-48087-4_15
Vulpe-Grigorasi, A., Kren, Z., Slijepčević, D., Schmied, R., & Leung, V. (2024). Attention performance classification based on eye tracking and machine learning. Informatics 2024 Proceedings. IEEE International Scientific Conference on Informatics, Poprad Slovakia. https://doi.org/10.1109/Informatics62280.2024.10900810
Vulpe-Grigorasi, A., Gollan, B., & Leung, V. (2024). Assessing Cognitive Load in Distraction and Task Switching: Implications for Developing Realistic Clinical XR Training. 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 1–5, 2024, Proceedings, Part II, 15339, pp 84-98. https://doi.org/https://doi.org/10.1007/978-3-031-82021-2_6
2023
de Jesus Oliveira, V. A., Slijepčević, D., Dumphart, B., Ferstl, S., Reis, J., Raberger, A.-M., Heller, M., Horsak, B., & Iber, M. (2023). Auditory feedback in tele-rehabilitation based on automated gait classification. Personal and Ubiquitous Computing. https://doi.org/10.1007/s00779-023-01723-2
Dumphart, B., Slijepcevic, D., Kranz, A., Zeppelzauer, M., & Horsak, B. (2023). Is it time to re-think the appropriateness of autocorrelation for gait event detection? Preliminary results of an ongoing study. Gait & Posture, 106, S50–S51. https://doi.org/10.1016/j.gaitpost.2023.07.064
Dumphart, B., Slijepcevic, D., Zeppelzauer, M., Kranzl, A., Unglaube, F., Baca, A., & Horsak, B. (2023). Robust deep learning-based gait event detection across various pathologies. PLOS ONE, 18(8), e0288555. https://doi.org/10.1371/journal.pone.0288555
Durstberger, S., Kranzl, A., & Horsak, B. (2023). Effects of three different regression-based hip joint center localization methods in adolescents with obesity on kinematics and kinetics - preliminary results of the HIPstar study. Gait & Posture, 100, 42–43. https://doi.org/10.1016/j.gaitpost.2022.11.056
Guggenberger, B., Horsak, B., Habersack, A., Smith, C. R., Kainz, H., & Svehlik, M. (2023). Different walking strategies impact patella cartilage pressure in individuals with patellofemoral instability. Gait & Posture, 100, 9–10. https://doi.org/10.1016/j.gaitpost.2022.11.025