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Hauptverfasser: Müller, Paul-Otto, Suppelt, Sven, Kupnik, Mario, von Stryk, Oskar
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2510.01191
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author Müller, Paul-Otto
Suppelt, Sven
Kupnik, Mario
von Stryk, Oskar
author_facet Müller, Paul-Otto
Suppelt, Sven
Kupnik, Mario
von Stryk, Oskar
contents Precise tracking of the jaw kinematics is crucial for diagnosing various musculoskeletal and neuromuscular diseases affecting the masticatory system and for advancing rehabilitative devices such as jaw exoskeletons, a hardly explored research field, to treat these disorders. We introduce an open-source, low-cost, precise, non-invasive, and biocompatible jaw tracking system based on optical motion capture technology to address the need for accessible and adaptable research tools. The system encompasses a complete pipeline from data acquisition, processing, and kinematic analysis to filtering, visualization, and data storage. We evaluated its performance and feasibility in experiments with four participants executing various jaw movements. The system demonstrated reliable kinematic tracking with an estimated precision of $(182 \pm 47) μm$ and $(0.126 \pm 0.034) °$. Therefore, the open-source nature of the system and its utility comparable to commercial systems make it suitable for many research and development contexts, especially for applications such as the integration and design of jaw exoskeletons and customized diagnostic protocols. The complete system is available at GitHub with the aim of promoting innovation in temporomandibular disorders research and jaw assistive technology.
format Preprint
id arxiv_https___arxiv_org_abs_2510_01191
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle An Optical Measurement System for Open-Source Tracking of Jaw Motions
Müller, Paul-Otto
Suppelt, Sven
Kupnik, Mario
von Stryk, Oskar
Human-Computer Interaction
Precise tracking of the jaw kinematics is crucial for diagnosing various musculoskeletal and neuromuscular diseases affecting the masticatory system and for advancing rehabilitative devices such as jaw exoskeletons, a hardly explored research field, to treat these disorders. We introduce an open-source, low-cost, precise, non-invasive, and biocompatible jaw tracking system based on optical motion capture technology to address the need for accessible and adaptable research tools. The system encompasses a complete pipeline from data acquisition, processing, and kinematic analysis to filtering, visualization, and data storage. We evaluated its performance and feasibility in experiments with four participants executing various jaw movements. The system demonstrated reliable kinematic tracking with an estimated precision of $(182 \pm 47) μm$ and $(0.126 \pm 0.034) °$. Therefore, the open-source nature of the system and its utility comparable to commercial systems make it suitable for many research and development contexts, especially for applications such as the integration and design of jaw exoskeletons and customized diagnostic protocols. The complete system is available at GitHub with the aim of promoting innovation in temporomandibular disorders research and jaw assistive technology.
title An Optical Measurement System for Open-Source Tracking of Jaw Motions
topic Human-Computer Interaction
url https://arxiv.org/abs/2510.01191