Viscoelastic properties of the ankle during quiet standing via raster images and EKF
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The present study deals with the reconstruction of the continuous-time state space parameters proper of human quiet standing. The reconstruction utilized a hybrid non-linear extended Kalman filter to combine a biomechanical model with the discrete-time position measurements provided by two web-cameras via a General Linear Camera model. After camera calibration and validating the filter in simulation, we performed the estimation on a group of volunteers whose quiet standing was perturbed by means of a hold and release paradigm. The filter allowed estimating stiffness and damping of the ankle during quiet standing as well as the kinematic variables of the subjects%27 center of mass. © 2014 IEEE.
The present study deals with the reconstruction of the continuous-time state space parameters proper of human quiet standing. The reconstruction utilized a hybrid non-linear extended Kalman filter to combine a biomechanical model with the discrete-time position measurements provided by two web-cameras via a General Linear Camera model. After camera calibration and validating the filter in simulation, we performed the estimation on a group of volunteers whose quiet standing was perturbed by means of a hold and release paradigm. The filter allowed estimating stiffness and damping of the ankle during quiet standing as well as the kinematic variables of the subjects' center of mass. © 2014 IEEE.
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biomechanics Extended Kalman Filter; General Linear Camera model; joint stiffness Biomechanics; Continuous time systems; Extended Kalman filters; Kalman filters; Signal processing; Stiffness; Viscoelasticity; Bio-mechanical models; Camera calibration; Continuous-time; Joint stiffness; Kinematic variables; Linear cameras; Stiffness and damping; Viscoelastic properties; Cameras
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