Literature DB >> 22784650

An effortless procedure to align the local frame of an inertial measurement unit to the local frame of another motion capture system.

Julien Chardonnens1, Julien Favre, Kamiar Aminian.   

Abstract

Inertial measurement units (IMUs) offer great opportunities to analyze segmental and joints kinematics. When combined with another motion capture system (MCS), for example, to validate new IMU-based applications or to develop mixed systems, it is necessary to align the local frame of the IMU sensors to the local frame of the MCS. Currently, all alignment methods use landmarks on the IMU's casing. Therefore, they can only be used with well-documented IMUs and they are prone to error when the IMU's casing is small. This study proposes an effortless procedure to align the local frame of any IMU to the local frame of any other MCS able to measure the orientation of its local frame. The general concept of this method is to derive the gyroscopic angles for both devices during an alignment movement, and then to use an optimization algorithm to calculate the alignment matrix between both local frames. The alignment movement consists of rotations around three more or less orthogonal axes and it can easily be performed by hands. To test the alignment procedure, an IMU and a magnetic marker were attached to a plate, and 20 alignment movements were recorded. The maximum errors of alignment (accuracy±precision) were 1.02°±0.32° and simulations showed that the method was robust against noise that typically affect IMUs. In conclusion, this study describes an efficient alignment procedure that is quick and easy to perform, and that does not require any alignment device or any knowledge about the IMU casing.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22784650     DOI: 10.1016/j.jbiomech.2012.06.009

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  11 in total

1.  Functional calibration does not improve the concurrent validity of magneto-inertial wearable sensor-based thorax and lumbar angle measurements when compared with retro-reflective motion capture.

Authors:  Daniel S Cottam; Amity C Campbell; Paul C Davey; Peter Kent; Bruce C Elliott; Jacqueline A Alderson
Journal:  Med Biol Eng Comput       Date:  2021-09-16       Impact factor: 2.602

Review 2.  How Magnetic Disturbance Influences the Attitude and Heading in Magnetic and Inertial Sensor-Based Orientation Estimation.

Authors:  Bingfei Fan; Qingguo Li; Tao Liu
Journal:  Sensors (Basel)       Date:  2017-12-28       Impact factor: 3.576

3.  Dealing with Magnetic Disturbances in Human Motion Capture: A Survey of Techniques.

Authors:  Gabriele Ligorio; Angelo Maria Sabatini
Journal:  Micromachines (Basel)       Date:  2016-03-09       Impact factor: 2.891

4.  Ski Position during the Flight and Landing Preparation Phases in Ski Jumping Detected with Inertial Sensors.

Authors:  Veronica Bessone; Johannes Petrat; Ansgar Schwirtz
Journal:  Sensors (Basel)       Date:  2019-06-06       Impact factor: 3.576

5.  Estimating orientation using magnetic and inertial sensors and different sensor fusion approaches: accuracy assessment in manual and locomotion tasks.

Authors:  Elena Bergamini; Gabriele Ligorio; Aurora Summa; Giuseppe Vannozzi; Aurelio Cappozzo; Angelo Maria Sabatini
Journal:  Sensors (Basel)       Date:  2014-10-09       Impact factor: 3.576

6.  Assessing the Performance of Sensor Fusion Methods: Application to Magnetic-Inertial-Based Human Body Tracking.

Authors:  Gabriele Ligorio; Elena Bergamini; Ilaria Pasciuto; Giuseppe Vannozzi; Aurelio Cappozzo; Angelo Maria Sabatini
Journal:  Sensors (Basel)       Date:  2016-01-26       Impact factor: 3.576

7.  Quaternion-Based Local Frame Alignment between an Inertial Measurement Unit and a Motion Capture System.

Authors:  Jung Keun Lee; Woo Chang Jung
Journal:  Sensors (Basel)       Date:  2018-11-16       Impact factor: 3.576

8.  Comparison of a Low-Cost Miniature Inertial Sensor Module and a Fiber-Optic Gyroscope for Clinical Balance and Gait Assessments.

Authors:  Daniel Roetenberg; Claudia Höller; Kevin Mattmüller; Markus Degen; John H Allum
Journal:  J Healthc Eng       Date:  2019-09-25       Impact factor: 2.682

9.  Allumo: Preprocessing and Calibration Software for Wearable Accelerometers Used in Posture Tracking.

Authors:  Alexis Fortin-Côté; Jean-Sébastien Roy; Laurent Bouyer; Philip Jackson; Alexandre Campeau-Lecours
Journal:  Sensors (Basel)       Date:  2019-12-31       Impact factor: 3.576

Review 10.  Sensor-to-Segment Calibration Methodologies for Lower-Body Kinematic Analysis with Inertial Sensors: A Systematic Review.

Authors:  Léonie Pacher; Christian Chatellier; Rodolphe Vauzelle; Laetitia Fradet
Journal:  Sensors (Basel)       Date:  2020-06-11       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.