Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits

Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits

Inertial measurement units (IMUs) offer an attractive way to study human lower-limb kinematics without traditional laboratory constraints. We present an error-state Kalman filter method to estimate 3D joint angles, joint angle ranges of motion, stride length, and step width using data from an array...

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Bibliographic Details
Main Authors:	Michael V. Potter, Stephen M. Cain, Lauro V. Ojeda, Reed D. Gurchiek, Ryan S. McGinnis, Noel C. Perkins
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Series:	Sensors
Subjects:	IMU motion capture sensor fusion abnormal gait
Online Access:	https://www.mdpi.com/1424-8220/22/21/8398

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