A novel functional calibration method for real-time elbow joint angles estimation with magnetic-inertial sensors. (21st March 2017)

• Record Type: Journal Article
• Authors: Ligorio, G.; Zanotto, D.; Sabatini, A.M.; Agrawal, S.K.
• Is Part Of: Journal of biomechanics. Volume 54(2017)
• Page Start: 106
• Page End: 110
• Publication Date: 2017-03-21
• Subjects: Elbow joint angles -- Functional calibration -- Inertial and magnetic sensors; Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2017.01.024
• Languages: English
• ISSNs: 0021-9290

Abstract

Abstract: Magnetic-inertial measurement units (MIMUs) are often used to measure the joint angles between two body segments. To obtain anatomically meaningful joint angles, each MIMU must be computationally aligned (i.e., calibrated) with the anatomical rotation axes. In this paper, a novel four-step functional calibration method is presented for the elbow joint, which relies on a two-degrees-of-freedom elbow model. In each step, subjects are asked to perform a simple task involving either one-dimensional motions around some anatomical axes or a static posture. The proposed method was implemented on a fully portable wearable system, which, after calibration, was capable of estimating the elbow joint angles in real time. Fifteen subjects participated in a multi-session experiment that was designed to assess accuracy, repeatability and robustness of the proposed method. When compared against an optical motion capture system (OMCS), the proposed wearable system showed an accuracy of about 4° along each degree of freedom. The proposed calibration method was tested against different MIMU mountings, multiple repetitions and non-strict observance of the calibration protocol and proved to be robust against these factors. Compared to previous works, the proposed method does not require the wearer to maintain specific arm postures while performing the calibration motions, and therefore it is more robust and better suited for real-world applications.