An evaluation of motion trackers with virtual reality sensor technology in comparison to a marker-based motion capture system based on joint angles for ergonomic risk assessment

  • Jan P. Vox
  • Anika Weber
  • Karen Insa Wolf
  • Krzysztof Izdebski
  • Thomas Schüler
  • Peter König
  • Frank Wallhoff
  • Daniel Friemert


The reproduction and simulation of workplaces, and the analysis of body postures during work processes, are parts of ergonomic risk assessments. A commercial virtual reality (VR) system offers the possibility to model complex work scenarios as virtual mock-ups and to evaluate their ergonomic designs by analyzing motion behavior while performing work processes. In this study a VR tracking sensor system (HTC Vive tracker) combined with an inverse kinematic model (Final IK) was compared with a marker-based optical motion capture system (Qualisys). Marker-based optical motion capture systems are considered the gold standard for motion analysis. Therefore, Qualisys was used as the ground truth in this study. The research question to be answered was how accurately the HTC Vive System combined with Final IK can measure joint angles used for ergonomic evaluation. Twenty-six subjects were observed simultaneously with both tracking systems while performing 20 defined movements. Sixteen joint angles were analyzed. Joint angle deviations between ±6 and ±42 were identified. These high deviations must be considered in ergonomic risk assessments when using a VR system. The results show that commercial low-budget tracking systems have the potential to map joint angles. Nevertheless, substantial weaknesses and inaccuracies in some body regions must be taken into account. Recommendations are provided to improve tracking accuracy and avoid systematic errors.

Bibliografische Daten

StatusVeröffentlicht - 01.05.2021

Anmerkungen des Dekanats

Funding Information:
Funding: This research was funded by Bundesministerium für Bildung und Forschung (BMBF) with the project ErgoVR (FKZ: 16SV8053, 09/2018–10/2020) and by the Jade University of Applied Sciences within the graduate track Jade2Pro.

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© 2021 by the authors. Licensee MDPI, Basel, Switzerland.