Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF Joints

Verfasst von

Daniel Laidig, Ive Weygers, Thomas Seel

Abstract

Human motion analysis using inertial measurement units (IMUs) has recently been shown to provide accuracy similar to the gold standard, optical motion capture, but at lower costs and while being less restrictive and time-consuming. However, IMU-based motion analysis requires precise knowledge of the orientations in which the sensors are attached to the body segments. This knowledge is commonly obtained via time-consuming and error-prone anatomical calibration based on precisely defined poses or motions. In the present work, we propose a self-calibrating approach for magnetometer-free joint angle tracking that is suitable for joints with two degrees of freedom (DoF), such as the elbow, ankle, and metacarpophalangeal finger joints. The proposed methods exploit kinematic constraints in the angular rates and the relative orientations to simultaneously identify the joint axes and the heading offset. The experimental evaluation shows that the proposed methods are able to estimate plausible and consistent joint axes from just ten seconds of arbitrary elbow joint motion. Comparison with optical motion capture shows that the proposed methods yield joint angles with similar accuracy as a conventional IMU-based method while being much less restrictive. Therefore, the proposed methods improve the practical usability of IMU-based motion tracking in many clinical and biomedical applications.

Details

Externe Organisation(en)
Technische Universität Berlin
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)
Typ
Artikel
Journal
Sensors
Band
22
ISSN
1424-8220
Publikationsdatum
15.12.2022
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Analytische Chemie, Information systems, Biochemie, Atom- und Molekularphysik sowie Optik, Instrumentierung, Elektrotechnik und Elektronik
Elektronische Version(en)
https://doi.org/10.3390/s22249850 (Zugang: Offen )
 

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