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Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups

Lara Kuhlmann de Canaviri, Katharina Meiszl, Vana Hussein, Pegah Abbassi, Seyedeh Delaram Mirraziroudsari, Laurin Hake, Tobias Potthast, Fabian Ratert, Tessa Schulten, Marc Silberbach, Yannik Warnecke, Daniel Wiswede, Witold Schiprowski, Daniel Heß, Raphael Brüngel, Christoph M. Friedrich*

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

The tracking of objects and person position, orientation, and movement is relevant for various medical use cases, e.g., practical training of medical staff or patient rehabilitation. However, these demand high tracking accuracy and occlusion robustness. Expensive professional tracking systems fulfill these demands, however, cost-efficient and potentially adequate alternatives can be found in the gaming industry, e.g., SteamVR Tracking. This work presents an evaluation of SteamVR Tracking in its latest version 2.0 in two experimental setups, involving two and four base stations. Tracking accuracy, both static and dynamic, and occlusion robustness are investigated using a VIVE Tracker (3.0). A dynamic analysis further compares three different velocities. An error evaluation is performed using a Universal Robots UR10 robotic arm as ground-truth system under nonlaboratory conditions. Results are presented using the Root Mean Square Error. For static experiments, tracking errors in the submillimeter and subdegree range are achieved by both setups. Dynamic experiments achieved errors in the submillimeter range as well, yet tracking accuracy suffers from increasing velocity. Four base stations enable generally higher accuracy and robustness, especially in the dynamic experiments. Both setups enable adequate accuracy for diverse medical use cases. However, use cases demanding very high accuracy should primarily rely on SteamVR Tracking 2.0 with four base stations.

OriginalspracheEnglisch
Aufsatznummer725
ZeitschriftSensors
Jahrgang23
Ausgabenummer2
ISSN1424-8220
DOIs
PublikationsstatusVeröffentlicht - 01.2023

Fördermittel

The work of Raphael Brüngel was partially funded by a PhD grant from the University of Applied Sciences and Arts Dortmund, Dortmund, Germany.

TrägerTrägernummer
University of Applied Sciences and Arts Dortmund

    UN SDGs

    Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

    1. SDG 3 – Gesundheit und Wohlergehen
      SDG 3 – Gesundheit und Wohlergehen

    Strategische Forschungsbereiche und Zentren

    • Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)

    DFG-Fachsystematik

    • 1.22-05 Persönlichkeitspsychologie, Klinische und Medizinische Psychologie, Methoden
    • 2.23-08 Kognitive und systemische Humanneurowissenschaften

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