Sparse Visual-Inertial Measurement Units Placement for Gait Kinematics Assessment

This study investigates the possibility of estimating lower-limb joint kinematics and meaningful performance indexes for physiotherapists, during gait on a treadmill based on data collected from a sparse placement of new Visual Inertial Measurement Units (VIMU) and the use of an Extended Kalman Filt...

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Veröffentlicht in:	IEEE Transactions on Neural Systems and Rehabilitation Engineering Jg. 29; S. 1300 - 1311
Hauptverfasser:	Mallat, Randa, Bonnet, Vincent, Dumas, Raphael, Adjel, Mohamed, Venture, Gentiane, Khalil, Mohamad, Mohammed, Samer
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2021 Institute of Electrical and Electronics Engineers (IEEE) The Institute of Electrical and Electronics Engineers, Inc. (IEEE) IEEE Institute of Electrical and Electronics Engineers
Schlagworte:	[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO] [PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph] Acceleration AUGMENTED REALITY MARKERS Biomechanical Phenomena Biomechanics Calibration Cameras Correlation coefficient Correlation coefficients Extended Kalman Filter EXTENDED KALMAN FILTER (EKF) Fourier series Gait GAIT REHABILITATION Human motion Humans INERTIAL MEASUREMENT UNIT Inertial platforms Kalman filters Kinematics Mathematical models Mechanics Motion Motion segmentation Optimization Pelvis Performance indices Photogrammetry Physics Placement Process parameters State vectors Three-dimensional displays Treadmills Tuning EXTENDED KALMAN FILTER (EKF) GAIT REHABILITATION AUGMENTED REALITY MARKERS INERTIAL MEASUREMENT UNIT
ISSN:	1534-4320, 1558-0210, 1558-0210
Online-Zugang:	Volltext
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