Analysis of the accuracy of ten algorithms for orientation estimation using inertial and magnetic sensing under optimal conditions

One size does not fit all

Verfasst von

Marco Caruso, Angelo Maria Sabatini, Daniel Laidig, Thomas Seel, Marco Knaflitz, Ugo Della Croce, Andrea Cereatti

Abstract

The orientation of a magneto and inertial measurement unit (MIMU) is estimated by means of sensor fusion algorithms (SFAs) thus enabling human motion tracking. However, despite several SFAs implementations proposed over the last decades, there is still a lack of consensus about the best performing SFAs and their accuracy. As suggested by recent literature, the filter parameters play a central role in determining the orientation errors. The aim of this work is to analyze the accuracy of ten SFAs while running under the best possible conditions (i.e., their parameter values are set using the orientation reference) in nine experimental scenarios including three rotation rates and three commercial products. The main finding is that parameter values must be specific for each SFA according to the experimental scenario to avoid errors comparable to those obtained when the de-fault parameter values are used. Overall, when optimally tuned, no statistically significant differ-ences are observed among the different SFAs in all tested experimental scenarios and the absolute errors are included between 3.8 deg and 7.1 deg. Increasing the rotation rate generally leads to a significant performance worsening. Errors are also influenced by the MIMU commercial model. SFA MATLAB implementations have been made available online.

Details

Externe Organisation(en)
Politecnico di Torino (POLITO)
Scuola Superiore Sant'Anna di Studi Universitari e di Perfezionamento
Technische Universität Berlin
University of Sassari
Typ
Artikel
Journal
Sensors
Band
21
ISSN
1424-8220
Publikationsdatum
01.04.2021
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Analytische Chemie, Information systems, Atom- und Molekularphysik sowie Optik, Biochemie, Instrumentierung, Elektrotechnik und Elektronik
Elektronische Version(en)
https://doi.org/10.3390/s21072543 (Zugang: Offen )
 

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