Publications and Ressources


  • Slijepcevic, D., Zeppelzauer, M., Schwab, C., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). P 011—Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements. Gait & Posture, 65, 249–250.
  • Wagner, M., Slijepcevic, D., Horsak, B., Rind, A., Zeppelzauer, M., & Aigner, W. (2018). KAVAGait: Knowledge-Assisted Visual Analytics for Clinical Gait Analysis. IEEE Transactions on Visualization and Computer Graphics (TVCG), Early Access.
  • Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2018). VIAL – A Unified Process for Visual-Interactive Labeling. The Visual Computer, 16.
  • Schwab, C., Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Dumphart, B., Baca, A., … Horsak, B. (2018). IntelliGait: Automatische Gangmusteranalyse für die robuste Erkennung von Gangstörungen. In Tagungsband. Hamburg, Deutschland.
  • Slijepcevic, D., Zeppelzauer, M., Raberger, A.-M., Schwab, C., Schuller, M., Baca, A., … Horsak, B. (2017). Automatic Classification of Functional Gait Disorders. IEEE Journal of Biomedical and Health Informatics, 1–1.
  • Slijepcevic, D., Horsak, B., Schwab, C., Raberger, A.-M., Schüller, M., Baca, A., … Zeppelzauer, M. (2017). Ground reaction force measurements for gait classification tasks: Effects of different PCA-based representations. In Gait & Posture (Vol. 57, pp. 4–5). Trondheim, Norway.

Additional Ressources

A video tutorial for our KAVAGait system is available on vimeo: