4 papers
Estimating Lower Body Kinematics using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count
Luke Wicent Sy, Nigel H. Lovell, Stephen J. Redmond
Goal: This paper presents an algorithm for estimating pelvis, thigh, shank, and foot kinematics during walking using only two or three wearable inertial sensors. Methods: The algor…
Estimating Lower Limb Kinematics using Distance Measurements with a Reduced Wearable Inertial Sensor Count
Luke Sy, Nigel H. Lovell, Stephen J. Redmond
This paper presents an algorithm that makes novel use of distance measurements alongside a constrained Kalman filter to accurately estimate pelvis, thigh, and shank kinematics for…
Estimating Lower Limb Kinematics using a Lie Group Constrained EKF and a Reduced Wearable IMU Count
Luke Sy, Nigel H. Lovell, Stephen J. Redmond
This paper presents an algorithm that makes novel use of a Lie group representation of position and orientation alongside a constrained extended Kalman filter (CEKF) to accurately…
Estimating Lower Limb Kinematics using a Reduced Wearable Sensor Count
Luke Sy, Michael Raitor, Michael Del Rosario +4
Goal: This paper presents an algorithm for accurately estimating pelvis, thigh, and shank kinematics during walking using only three wearable inertial sensors. Methods: The algorit…