Nordic Walking training assistance

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CDH Activities

This work is a collaboration of our previous affiliation at the Univeristy of Passau and the Sports centre of the University of Passau.


Nordic Walking is a complex sport including interactions between upper and lower-body.
Nordic Walking provides many health benefits, i.e. cardio-vascular fitness.
However, when performed wrongly, Nordic Walking could lead to injuries and diminish health benefits.
In this work, we investigated the complex motion of Nordic Walking, providing
personalised skill evaluation for Nordic Walking beginners. We used
a mistake-driven skill estimation approach for movement analysis
based on wearable inertial measurement units (IMUs) and
continuous regression models [??, 1].

Figure 1.  The architecture of our mistake-driven movement skill estimation approach, including (A) filtering and resampling of IMU data, (B) stride segmentation, (C) feature extraction and selection and (D) regression-based skill estimation.

In a lab-controlled evaluation study motion data from 10 participants were recorded.
We focused on Nordic Walking beginners to analyse potential improvements and trends in
skillfulness. Initial results were presented at the PerCom, IEEE International Conference on Pervasive Computing and Communications, Athens, Greece, March 2018 .

Work with us

For the continuation of this project, we are looking for collaborations with researchers focusing on sports and biomechanics.
In addition, we offer student projects, e.g. click here


Adrian Derungs, Sebastian Soller, Gereon Berschin, Oliver Amft, "Nordic Walking 2.0 – Inertialsensoren messen Bewegungsqualität", Schriften der Deutschen Vereinigung für Sportwissenschaft (dvs 2017), Feldhaus Edition Czwalina, September 2017.


Adrian Derungs


Friedrich-Alexander-Universität Erlangen-Nürnberg