Print Email Facebook Twitter On motions that allow for identification of hinge joint axes from kinematic constraints and 6D IMU data Title On motions that allow for identification of hinge joint axes from kinematic constraints and 6D IMU data Author Nowka, Danny (Technical University of Berlin) Kok, M. (TU Delft Team Jan-Willem van Wingerden) Seel, Thomas (Technical University of Berlin) Date 2019 Abstract In inertial motion tracking of kinematic chains, inertial measurement units (IMUs) are attached to each segment in order to track their motion in three-dimensional space. Determining the relations between the functional axes of a joint and the local coordinate system of the attached sensor is a crucial requirement. For the case of hinge joints, methods have been proposed that exploit kinematic constraints to automatically identify the local hinge joint axis coordinates from the raw data of almost arbitrary motions. However, to current date, it remains unclear which joint motions are sufficiently rich for the joint axis to become identifiable. We consider a commonly used gyroscope-based kinematic constraint and present a novel accelerometer-based kinematic constraint. We study conditions of identifiability by analyzing the nonlinear constraint equations and present practical conditions for the minimum excitation that is required. Among other results, we prove that planar motions and subsequent motions of both ends of the joint are sufficient as long as the joint axis does not remain perfectly horizontal. Theoretical results are validated in experimental studies of a human upper limb wearing an exoskeleton. Despite the typical IMU-related measurement inaccuracies and although the human elbow joint is only an approximate hinge joint, the cost function defined by the kinematic constraints exhibits a distinct global minimum at the true joint axis coordinates if the motion fulfills the proposed requirements. To reference this document use: http://resolver.tudelft.nl/uuid:75389d9c-7177-451a-9670-b690c02803ce DOI https://doi.org/10.23919/ECC.2019.8795846 Publisher IEEE, Piscataway, NJ, USA Embargo date 2020-02-15 ISBN 978-3-907144-00-8 Source Proceedings of the 18th European Control Conference (ECC 2019) Event ECC 2019: 18th European Control Conference, 2019-06-25 → 2019-06-28, Napoli, Italy Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2019 Danny Nowka, M. Kok, Thomas Seel Files PDF On_Motions_That_Allow_for ... U_Data.pdf 2.19 MB Close viewer /islandora/object/uuid:75389d9c-7177-451a-9670-b690c02803ce/datastream/OBJ/view