Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applications

This paper deals with orientation estimation using miniature inertial/magnetic sensor comprised of a tri-axial rate gyro, a tri-axial accelerometer, and a tri-axial magnetometer. Particularly, a novel quaternion-based pseudo Kalman filter (KF) is proposed by modifying an indirect KF, in order to max...

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Main Author: Lee Jung Keun
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20165901009
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author Lee Jung Keun
author_facet Lee Jung Keun
author_sort Lee Jung Keun
collection DOAJ
description This paper deals with orientation estimation using miniature inertial/magnetic sensor comprised of a tri-axial rate gyro, a tri-axial accelerometer, and a tri-axial magnetometer. Particularly, a novel quaternion-based pseudo Kalman filter (KF) is proposed by modifying an indirect KF, in order to maximize the computational efficiency and implementation simplicity. In the proposed pseudo KF, time-update process for prediction is based on the quaternion itself, while measurement-update process for correction is performed through the quaternion error. Experimental tests were conducted to verify performance of the proposed algorithm in various dynamic conditions. By designing the pseudo KF structure, matrix operations required in a typical KF are simplified. For instance, the proposed KF does not require the evaluation of the a priori and a posteriori error covariance matrices. Thus, the proposed algorithm achieves higher computational efficiency even than a typical indirect KF, without sacrificing estimation accuracy. Due to its high efficiency, the proposed algorithm can be suitable for battery-powered and low cost processor-based wearable inertial/magnetic sensor applications.
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spelling doaj.art-5a743c3d7071449488fb9dde90c3cf122022-12-21T22:09:07ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01590100910.1051/matecconf/20165901009matecconf_icfst2016_01009Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applicationsLee Jung KeunThis paper deals with orientation estimation using miniature inertial/magnetic sensor comprised of a tri-axial rate gyro, a tri-axial accelerometer, and a tri-axial magnetometer. Particularly, a novel quaternion-based pseudo Kalman filter (KF) is proposed by modifying an indirect KF, in order to maximize the computational efficiency and implementation simplicity. In the proposed pseudo KF, time-update process for prediction is based on the quaternion itself, while measurement-update process for correction is performed through the quaternion error. Experimental tests were conducted to verify performance of the proposed algorithm in various dynamic conditions. By designing the pseudo KF structure, matrix operations required in a typical KF are simplified. For instance, the proposed KF does not require the evaluation of the a priori and a posteriori error covariance matrices. Thus, the proposed algorithm achieves higher computational efficiency even than a typical indirect KF, without sacrificing estimation accuracy. Due to its high efficiency, the proposed algorithm can be suitable for battery-powered and low cost processor-based wearable inertial/magnetic sensor applications.http://dx.doi.org/10.1051/matecconf/20165901009
spellingShingle Lee Jung Keun
Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applications
MATEC Web of Conferences
title Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applications
title_full Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applications
title_fullStr Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applications
title_full_unstemmed Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applications
title_short Quaternion-based pseudo kalman filter for wearable inertial/magnetic sensor applications
title_sort quaternion based pseudo kalman filter for wearable inertial magnetic sensor applications
url http://dx.doi.org/10.1051/matecconf/20165901009
work_keys_str_mv AT leejungkeun quaternionbasedpseudokalmanfilterforwearableinertialmagneticsensorapplications