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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Michael V. Potter, Stephen M. Cain, Lauro V. Ojeda, Reed D. Gurchiek, Ryan S. McGinnis, Noel C. Perkins
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2022-11-01
Schriftenreihe:	Sensors
Schlagworte:	IMU motion capture sensor fusion abnormal gait
Online-Zugang:	https://www.mdpi.com/1424-8220/22/21/8398
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!