DocumentCode :
3524850
Title :
A mobile motion analysis system using inertial sensors for analysis of lower limb prosthetics
Author :
Mueller, J.K.P. ; Evans, B.M. ; Ericson, M. Nance ; Farquhar, E. ; Lind, R. ; Kelley, K. ; Pusch, M. ; von Marcard, T. ; Wilken, J.M.
Author_Institution :
Meas. Sci. & Syst. Eng. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
fYear :
2011
fDate :
7-8 Nov. 2011
Firstpage :
59
Lastpage :
62
Abstract :
Soldiers returning from the global war on terror requiring lower leg prosthetics generally have different concerns and requirements than the typical lower leg amputee. These subjects are usually young, wish to remain active and often desire to return to active military duty. As such, they demand higher performance from their prosthetics, but are at risk for chronic injury and joint conditions in their unaffected limb. Motion analysis is a valuable tool in assessing the performance of new and existing prosthetic technologies as well as the methods in fitting these devices to both maximize performance and minimize risk of injury for the individual soldier. We are developing a mobile, low-cost motion analysis system using inertial measurement units (IMUs) and two custom force sensors that detect ground reaction forces and moments on both the unaffected limb and prosthesis. IMUs were tested on a robot programmed to simulate human gait motion. An algorithm which uses a kinematic model of the robot and an extended Kalman filter (EKF) was used to convert the rates and accelerations from the gyro and accelerometer into joint angles. Compared to encoder data from the robot, which was considered the ground truth in this experiment, the inertial measurement system had a RMSE of <;1.0 degree. Collecting kinematic and kinetic data without the restrictions and expense of a motion analysis lab could help researchers, designers and prosthetists advance prosthesis technology and customize devices for individuals. Ultimately, these improvements will result in better prosthetic performance for the military population.
Keywords :
Kalman filters; accelerometers; artificial limbs; force sensors; gait analysis; gyroscopes; inertial systems; measurement systems; medical robotics; military equipment; robot kinematics; robot programming; EKF; IMU; RMSE; accelerometer; chronic injury; custom force sensor; extended Kalman filter; global war; ground reaction force detection; gyro; human gait motion simulation; inertial measurement system; inertial measurement unit; inertial sensor; joint condition; lower leg amputee; lower limb prosthetics analysis; military duty; military population; mobile motion analysis system; moment detection; robot kinematic model; robot programming; terror; unaffected limb; Biomechanics; Gyroscopes; Legged locomotion; Ground Reaction Force Sensor; Inertial Measurement Unit; Motion Analysis; Prosthetic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future of Instrumentation International Workshop (FIIW), 2011
Conference_Location :
Oak Ridge, TN
Print_ISBN :
978-1-4673-5835-4
Type :
conf
DOI :
10.1109/FIIW.2011.6476802
Filename :
6476802
Link To Document :
بازگشت