FH St. Pölten / Brian Horsak

IntelliGait: Intelligent Gait analysis. Using machine learning for pattern recognition and gait classification

This project takes advantage of a large-scale database of real-world clinical gait data captured during clinical praxis of the Rehabilitation Center Weißer Hof (AUVA). This dataset enables us to develop novel machine based learning methods for automated gait analysis and classification.

Poster presented at the ESMAC 2018

Poster presented at the ESMAC!

As every year, some of our team members visited the annual conference of the ESMAC, the European Society of Movement Analysis for Adults and Children, this year hosted in Prag. Brian presented our lovely poster entitled: “Towards an optimal combination of input signals and derived representations for gait classification based on ground reaction force measurements”. […]

VIAL: a unified process for visual interactive labeling

Amazing News! IntelliTeam Member published a new paper!

An IntelliTeam member, Matthias Zeppelzauer, published a new paper in the International Journal of Computer Graphics – The Visual Computer together with colleagues from the TU Darmstadt, the Jacobs University, and the TU Vienna. In this paper, the process of labeling data instances with the user in the loop, from both the machine learning and […]

FH St. Pölten / Brian Horsak