Publications
Filtered:
Ordered by year and author
2023
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy. IEEE Access, 11, 65906–65923. https://doi.org/10.1109/ACCESS.2023.3289986
Slijepcevic, D., Zeppelzauer, M., Unglaube, F., Kranzl, A., Breiteneder, C., & Horsak, B. (2023). Towards more transparency: The utility of Grad-CAM in tracing back deep learning based classification decisions in children with cerebral palsy. Gait & Posture, 100, 32–33. https://doi.org/10.1016/j.gaitpost.2022.11.045
Slijepcevic, D., Horst, F., Simak, M., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2023). Towards personalized gait rehabilitation: How robustly can we identify personal gait signatures with machine learning? Gait & Posture, 106, S192–S193. https://doi.org/10.1016/j.gaitpost.2023.07.232
Stamm, T., Karner, G., Kutrovatz, J. M., Ritschl, V., Perkhofer, S., Tucek, G., & Weigl, R. (2023). Besonderheiten der Forschung im Gesundheitswesen. In V. Ritschl, R. Weigl, & T. Stamm (Eds.), Wissenschaftliches Arbeiten und Schreiben - Verstehen, Anwenden, Nutzen für die Praxis (2nd ed., pp. 29–53). Springer.
Vulpe-Grigorasi, A. (2023). Cognitive load assessment based on VR eye-tracking and biosensors. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, 589–591. https://doi.org/10.1145/3626705.3632618
Vulpe-Grigorasi, A. (2023). Multimodal machine learning for cognitive load based on eye tracking and biosensors. 2023 Symposium on Eye Tracking Research and Applications, 1–3. https://doi.org/10.1145/3588015.3589534
2022
Guggenberger, B., Horsak, B., Habersack, A., Smith, C., Svehlik, M., & Kainz, H. (2022). The influence of different walking strategies on patellofemoral and tibiofemoral contact forces in individuals with patellofemoral instability. Gait & Posture, 97, S68–S69. https://doi.org/10.1016/j.gaitpost.2022.07.052
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., Husinsky, M., & Siragy, T. (2022). Walking overground in a room-scale Virtual Reality Environment: a motor control perspective. 9th World Congress of Biomechanics, Taipei, Taiwan.
Horsak, B. (2022). Die klinische Ganganalyse: ein „Werkzeugkasten“ zur objektiven Analyse der menschlichen Bewegung (Invited Talk). Jahrestagung der Österreichischen Gesellschaft für Physikalische Medizin und Rehabilitation (ÖGPMR), Krems, Austria.
Horsak, B. (2022). Clinical Gait Analysis: A Toolbox to study Dynamic Joint Loading (Invited Talk). 16th World Conference of the International Cartilage Regeneration & Joint Repair Society, Berlin, Germany.
Horsak, B., Simonlehner, M., Dumphart, B., Kainz, H., Killen, B., & Jonkers, I. (2022). Patella-femoral joint loading during the modified Star Excursion Balance Test: Preliminary results of an extensive simulation study. Gait & Posture, 97, S5–S6. https://doi.org/10.1016/j.gaitpost.2022.07.013
Horsak, B. (2022). From machine learning to virtual reality: application examples of emerging digital trends in (clinical) gait analysis and rehabilitation (Invited Talk). 2022 Motion Capture Days, Dortmund, Germany.
Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breitender, C., Schöllhorn, W., & Zeppelzauer, M. (2022). Explaining Machine Learning Models for Clinical Gait Analysis. ACM Transactions on Computing for Healthcare, 3(2), 14:1-14:27. https://doi.org/10.1145/3474121
Slijepcevic, D., Horst, F., Simak, M., Lapuschkin, S., Raberger, A. M., Samek, W., Breiteneder, C., Schöllhorn, W. I., Zeppelzauer, M., & Horsak, B. (2022). Explaining machine learning models for age classification in human gait analysis. Gait & Posture, 97, S252–S253. https://doi.org/10.1016/j.gaitpost.2022.07.153
Zulkarnain, A. H. B., Totorean, A., Gere, A., Cruz, E., Horsak, B., Lancere, L., Schöffer, L., Simonlehner, M., Crișan-Vida, M., Fernandes, R., & Sterckx, Y. (2022). Development of a social inclusive immersive virtual reality exergame to promote physical activity. Book of Proceedings FOODCONF. Fourth International Conference on Food Science and Technology, Budapest, Hungary. http://www.foodconf.hu/poster/P4000/68.pdf
2021
Dumphart, B., Schimanko, M., Nöstlinger, S., Iber, M., Horsak, B., & Heller, M. (2021). Validity and reliability of a mobile insole to measure vertical ground reaction force during walking. 823. http://media.isb2021.com/2021/12/ISB2021_ProgrammeAbstracts.pdf
Dumphart, B., Slijepčević, D., Unglaube, F., Kranzl, A., Baca, A., Zeppelzauer, M., & Horsak, B. (2021). An automated deep learning-based gait event detection algorithm for various pathologies. Gait & Posture, 90, 50–51. https://doi.org/https://doi.org/10.1016/j.gaitpost.2021.09.026
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics. Frontiers in Bioengineering and Biotechnology, 9, 1236. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
Horsak, B., Simonlehner, M., Schöffer, L., Dumphart, B., Jalaeefar, A., & Husinsky, M. (2021). Overground walking in a fully immersive Virtual Reality: Preliminary results of a comprehensive study on the effects on walking biomechanics. Gait & Posture, 90, 100–101. https://doi.org/https://doi.org/10.3389/fbioe.2021.780314
Horsak, B., Schwab, C., Durstberger, S., Thajer, A., Greber-Platzer, S., Kainz, H., Jonkers, I., & Kranzl, A. (2021). 3D free-hand ultrasound to register anatomical landmarks at the pelvis and localize the hip joint center in lean and obese individuals. Scientific Reports, 11(1), 10650. https://doi.org/https://doi.org/10.1038/s41598-021-89763-7