Automatic anatomical calibration for IMU-based elbow angle measurement in disturbed magnetic fields

Abstract: Inertial Measurement Units (IMUs) are increasingly used for human motion analysis. However, two major challenges remain: First, one must know precisely in which orientation the sensor is attached to the respective body segment. This is commonly achieved by accurate manual placement of the sensors or by letting the subject perform tedious calibration movements. Second, standard methods for inertial motion analysis rely on a homogeneous magnetic field, which is rarely found in indoor environments. To address both challenges, we introduce an automatic calibration method for joints with two degrees of freedom such as the combined radioulnar and elbow joint. While the user performs arbitrary movements, the method automatically identifies the sensor-to-segment orientations by exploiting the kinematic constraints of the joint. Simultaneously, the method identifies and compensates the influence of magnetic disturbances on the sensor orientation quaternions and the joint angles. In experimental trials, we obtain angles that agree well with reference values from optical motion capture. We conclude that the proposed method overcomes mounting and calibration restrictions and improves measurement accuracy in indoor environments. It therefore improves the practical usability of IMUs for many medical applications.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Automatic anatomical calibration for IMU-based elbow angle measurement in disturbed magnetic fields ; volume:3 ; number:2 ; year:2017 ; pages:167-170 ; extent:4
Current directions in biomedical engineering ; 3, Heft 2 (2017), 167-170 (gesamt 4)

Creator
Laidig, Daniel
Müller, Philipp
Seel, Thomas

DOI
10.1515/cdbme-2017-0035
URN
urn:nbn:de:101:1-2023030713154732846129
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 11:04 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Associated

  • Laidig, Daniel
  • Müller, Philipp
  • Seel, Thomas

Other Objects (12)