IMU-based Joint Angle Measurement Made Practical

This contribution is concerned with hinge joint angle calculation based on inertial measurement data in the context of human motion analysis. Unlike most robotic devices, the human body lacks even surfaces and right angles. Therefore, we focus on methods that avoid to assume a certain mounting orientation, i.e. certain orientations in which the sensor should be mounted with respect to the body segment or to a global coordinate system. After a review of available methods that may cope with this challenge, we present two new methods which use recent results on joint axis and position estimation based on the exploitation of kinematic constraints. Results from an experiment with a transfemoral amputee are provided in which we compare the IMU-based methods to an optical 3d motion capture system. RMS errors are found to be less than 0.6◦on the prosthesis and below 4◦on the contralateral leg.

[1]  Thomas Seel,et al.  Joint axis and position estimation from inertial measurement data by exploiting kinematic constraints , 2012, 2012 IEEE International Conference on Control Applications.

[2]  Eduardo Rocon de Lima,et al.  Design and implementation of an inertial measurement unit for control of artificial limbs: Application on leg orthoses , 2006 .

[3]  Peng Cheng,et al.  Joint-Angle Measurement Using Accelerometers and Gyroscopes—A Survey , 2010, IEEE Transactions on Instrumentation and Measurement.

[4]  B M Jolles,et al.  Functional calibration procedure for 3D knee joint angle description using inertial sensors. , 2009, Journal of biomechanics.

[5]  P R Cavanagh,et al.  ISB recommendations for standardization in the reporting of kinematic data. , 1995, Journal of biomechanics.

[6]  Alexander D. Young,et al.  Use of Body Model Constraints to Improve Accuracy of Inertial Motion Capture , 2010, 2010 International Conference on Body Sensor Networks.

[7]  Roman Kamnik,et al.  An inertial and magnetic sensor based technique for joint angle measurement. , 2007, Journal of biomechanics.

[8]  Tao Liu,et al.  Ambulatory measurement and analysis of the lower limb 3D posture using wearable sensor system , 2009, 2009 International Conference on Mechatronics and Automation.

[9]  Diana Hodgins,et al.  Inertial sensor-based knee flexion/extension angle estimation. , 2009, Journal of biomechanics.

[10]  Xiaoping Yun,et al.  Limitations of Attitude Estimnation Algorithms for Inertial/Magnetic Sensor Modules , 2007, IEEE Robotics & Automation Magazine.

[11]  K. Aminian,et al.  Ambulatory measurement of 3D knee joint angle. , 2008, Journal of biomechanics.

[12]  A Brennan,et al.  Quantification of inertial sensor-based 3D joint angle measurement accuracy using an instrumented gimbal. , 2011, Gait & posture.

[13]  Peter H. Veltink,et al.  Measuring orientation of human body segments using miniature gyroscopes and accelerometers , 2005, Medical and Biological Engineering and Computing.

[14]  K. Aminian,et al.  A new ambulatory system for comparative evaluation of the three-dimensional knee kinematics, applied to anterior cruciate ligament injuries , 2006, Knee Surgery, Sports Traumatology, Arthroscopy.

[15]  Masahiro Todoh,et al.  Gait posture estimation using wearable acceleration and gyro sensors. , 2009, Journal of biomechanics.