Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors

A new method of estimating lower limbs orientations using a combination of accelerometers and gyroscopes is presented. The model is based on estimating the accelerations of ankle and knee joints by placing virtual sensors at the centers of rotation. The proposed technique considers human locomotion and biomechanical constraints, and provides a solution to fusing the data of gyroscopes and accelerometers that yields stable and drift-free estimates of segment orientation. The method was validated by measuring lower limb motions of eight subjects, walking at three different speeds, and comparing the results with a reference motion measurement system. The results are very close to those of the reference system presenting very small errors (Shank: rms=1.0, Thigh: rms=1.6/spl deg/) and excellent correlation coefficients (Shank: r=0.999, Thigh: r=0.998). Technically, the proposed ambulatory system is portable, easily mountable, and can be used for long term monitoring without hindrance to natural activities. Finally, a gait analysis tool was designed to visualize the motion data as synthetic skeletons performing the same actions as the subjects.

[1]  M Torode,et al.  Inter-segment foot motion and ground reaction forces over the stance phase of walking. , 2001, Clinical biomechanics.

[2]  László Kocsis,et al.  Joint kinematics and spatial-temporal parameters of gait measured by an ultrasound-based system. , 2004, Medical engineering & physics.

[3]  A. Heyn,et al.  The kinematics of the swing phase obtained from accelerometer and gyroscope measurements , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Robert B. McGhee,et al.  An extended Kalman filter for quaternion-based orientation estimation using MARG sensors , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

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

[6]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[7]  M Honl,et al.  Duration and frequency of every day activities in total hip patients. , 2001, Journal of biomechanics.

[8]  Heinrich M. Overhoff,et al.  Total knee arthroplasty: coordinate system definition and planning based on 3-D ultrasound image volumes , 2001, CARS.

[9]  A Leardini,et al.  Position and orientation in space of bones during movement: experimental artefacts. , 1996, Clinical biomechanics.

[10]  A. J. van den Bogert,et al.  Effect of skin movement on the analysis of skeletal knee joint motion during running. , 1997, Journal of biomechanics.

[11]  J. D. Janssen,et al.  A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity , 1997, IEEE Transactions on Biomedical Engineering.

[12]  B. Kemp,et al.  Body position can be monitored in 3D using miniature accelerometers and earth-magnetic field sensors. , 1998, Electroencephalography and clinical neurophysiology.

[13]  Kamiar Aminian,et al.  Stair climbing detection during daily physical activity using a miniature gyroscope. , 2005, Gait & posture.

[14]  Kamiar Aminian,et al.  Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. , 2002, Journal of biomechanics.

[15]  Ken Shoemake,et al.  Animating rotation with quaternion curves , 1985, SIGGRAPH.

[16]  P.H. Veltink,et al.  Inclination measurement of human movement using a 3-D accelerometer with autocalibration , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[17]  Kamiar Aminian,et al.  A ROBUST GAIT PARAMETERIZATION TECHNIQUE FOR HIP ARTHROPLASTY OUTCOME EVALUATION , 2003 .

[18]  R. E. Carlson,et al.  Monotone Piecewise Cubic Interpolation , 1980 .

[19]  M. Saleh,et al.  In defence of gait analysis. Observation and measurement in gait assessment. , 1985, The Journal of bone and joint surgery. British volume.

[20]  M H Granat,et al.  A practical gait analysis system using gyroscopes. , 1999, Medical engineering & physics.

[21]  J R Morris,et al.  Accelerometry--a technique for the measurement of human body movements. , 1973, Journal of biomechanics.

[22]  Peter H Veltink,et al.  Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems. , 2002, Journal of biomechanics.

[23]  Michael Harrington,et al.  WearTrack: a self-referenced head and hand tracker for wearable computers and portable VR , 2000, Digest of Papers. Fourth International Symposium on Wearable Computers.

[24]  Pascal Fua,et al.  Articulated Soft Objects for Multiview Shape and Motion Capture , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[25]  Henk J. A. M. Heijmans,et al.  The algebraic basis of mathematical morphology : II. Openings and closings , 1991, CVGIP Image Underst..

[26]  K. Aminian,et al.  Evaluation of an ambulatory system for gait analysis in hip osteoarthritis and after total hip replacement. , 2004, Gait & posture.

[27]  W. Harris,et al.  Traumatic arthritis of the hip after dislocation and acetabular fractures: treatment by mold arthroplasty. An end-result study using a new method of result evaluation. , 1969, The Journal of bone and joint surgery. American volume.

[28]  Kamiar Aminian,et al.  A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes , 2005, IEEE Transactions on Biomedical Engineering.

[29]  Hugh F. Durrant-Whyte,et al.  Inertial navigation systems for mobile robots , 1995, IEEE Trans. Robotics Autom..

[30]  Rong Zhu,et al.  A real-time articulated human motion tracking using tri-axis inertial/magnetic sensors package , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[31]  B. Nigg,et al.  Tibiofemoral and tibiocalcaneal motion during walking: external vs. skeletal markers , 1997 .

[32]  Eric Foxlin,et al.  Inertial head-tracker sensor fusion by a complementary separate-bias Kalman filter , 1996, Proceedings of the IEEE 1996 Virtual Reality Annual International Symposium.

[33]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Frank Biocca,et al.  A Survey of Position Trackers , 1992, Presence: Teleoperators & Virtual Environments.

[35]  Xiaoming Hu,et al.  Drift-free attitude estimation for accelerated rigid bodies , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).