Kinematics based sensory fusion for wearable motion assessment in human walking

Computer Methods and Programs in Biomedicine

Volumn 116, Issue 2, 2014, Pages 131-144

  Slajpah S ^a   Kamnik, R ^a   Munih, M ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Extended Kalman filter; Inertial measurement unit; Kinematic model; Long term walking; Measuring insoles; Sensory fusion

Indexed keywords

EXTENDED KALMAN FILTERS; OPTICAL SYSTEMS; SENSORS; UNITS OF MEASUREMENT;

INERTIAL MEASUREMENT UNIT; KINEMATIC MODEL; LONG-TERM WALKING; MEASURING INSOLES; SENSORY FUSION;

KINEMATICS;

ACCELERATION; ALGORITHM; ARTICLE; HUMAN; KINEMATICS; MOTION; ROBOTICS; SENSORY SYSTEM; TREADMILL; VISUAL SYSTEM; WALKING; ADULT; ANKLE; BIOLOGICAL MODEL; BIOMECHANICS; DEVICES; HIP; KNEE; MALE; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY; YOUNG ADULT;

ACCELERATION; ADULT; ALGORITHMS; ANKLE JOINT; BIOMECHANICAL PHENOMENA; HIP JOINT; HUMANS; KNEE JOINT; MALE; MODELS, BIOLOGICAL; MOVEMENT; ROBOTICS; WALKING; YOUNG ADULT;

EID: 84903147543     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.11.012     Document Type: Article

References (37)

1. Bonato P. Wearable sensors/systems and their impact on biomedical engineering. IEEE Engineering in Medicine and Biology Magazine 2003, 22(3):18-20.
2. Martinez-Villalpando E.C., Herr H. Agonist-antagonist active knee prosthesis: a preliminary study in level-ground walking. Journal of Rehabilitation Research & Development 2009, 46(3):361-373.
3. Sup F., Bohara A., Goldfarb M. Design and control of a powered transfemoral prosthesis. International Journal of Robotics Research 2008, 27(2):263-273.
4. Moreno J.C., De Lima E.R., Ruí z A.F., Brunetti F.J., Pons J.L. Design and implementation of an inertial measurement unit for control of artificial limbs: application on leg orthoses. Sensors and Actuators B: Chemical 2006, 118(1):333-337.
5. Blaya J.A., Herr H. Adaptive control of a variable-impedance ankle-foot orthosis to assist drop-foot gait. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2004, 12(1):24-31.
6. Kawamoto H., Kanbe S., Sankai Y. Power assist method for HAL-3 estimating operator's intention based on motion information. Robot and Human Interactive Communication, 2003. Proceedings of ROMAN, 2003. The 12th IEEE International Workshop on, IEEE 2003, 67-72.
7. Kazerooni H. The Berkeley lower extremity exoskeleton. Field and Service Robotics 2006, 9-15. Springer, Berlin, Heidelberg.
8. Page P.N., Hawkins D. A real-time biomechanical feedback system for training rowers. Sports Engineering 2003, 6(2):67-79.
9. Chiari L., Dozza M., Cappello A., Horak F.B., Macellari V., Giansanti D. Audio-biofeedback for balance improvement: an accelerometry-based system. IEEE Transactions on Biomedical Engineering 2005, 52(12):2108-2111.
10. Crea S., Vitiello N., De Rossi S.M.M., Lenzi T., Donati M., Cipriani C., Carrozza M.C. Development of an experimental set-up for providing lower-limb amputees with an augmenting feedback. Converging Clinical and Engineering Research on Neurorehabilitation 2013, 321-325. Springer, Berlin, Heidelberg.
11. Kamnik R., Bajd T. Standing-up robot: an assistive rehabilitative device for training and assessment. Journal of Medical Engineering & Technology 2004, 28(2):74-80.
12. Van Asseldonk E., Ekkelenkamp R., Veneman J., Van der Helm F., Van der Kooij H. Selective control of a subtask of walking in a robotic gait trainer (LOPES). Rehabilitation Robotics, 2007. ICORR 2007. IEEE 10th International Conference on, IEEE 2007, 841-848.
13. Tsukahara A., Hasegawa Y., Sankai Y. Standing-up motion support for paraplegic patient with robot suit HAL. Rehabilitation Robotics, 2009. ICORR 2009. IEEE International Conference on, IEEE 2009, 211-217.
14. Winter D.A. Biomechanics and Motor Control of Human Gait: Normal, Elderly and Pathological 1991, University of Waterloo Press, Waterloo.
15. Whittle M.W. Gait Analysis: An Introduction 1996, Butterworth-Heinemann, Oxford.
16. Tong K., Granat M.H. A practical gait analysis system using gyroscopes. Medical Engineering & Physics 1999, 21(2):87-94.
17. Williamson R., Andrews B. Detecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes. Medical and Biological Engineering and Computing 2001, 39(3):294-302.
18. Liu T., Inoue Y., Shibata K. Development of a wearable sensor system for quantitative gait analysis. Measurement 2009, 42(7):978-988.
19. Mayagoitia R.E., Nene A.V., Veltink P.H. Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems. Journal of Biomechanics 2002, 35(4):537-542.
20. Willemsen A.T.M., Van Alste J., Boom H. Real-time gait assessment utilizing a new way of accelerometry. Journal of Biomechanics 1990, 23(8):859-863.
21. Dejnabadi H., Jolles B.M., Aminian K. A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes. IEEE Transactions on Biomedical Engineering 2005, 52(8):1478-1484.
22. Djurić-Jovičić M.D., Jovičić N.S., Popović D.B. Kinematics of gait: new method for angle estimation based on accelerometers. Sensors 2011, 11(11):10571-10585.
23. Liu K., Liu T., Shibata K., Inoue Y., Zheng R. Novel approach to ambulatory assessment of human segmental orientation on a wearable sensor system. Journal of Biomechanics 2009, 42(16):2747-2752.
24. Luinge H., Veltink P.H. Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Medical and Biological Engineering and Computing 2005, 43(2):273-282.
25. Dejnabadi H., Jolles B.M., Casanova E., Fua P., Aminian K. Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors. IEEE Transactions on Biomedical Engineering 2006, 53(7):1385-1393.
26. Favre J., Jolles B., Siegrist O., Aminian K. Quaternion-based fusion of gyroscopes and accelerometers to improve 3d angle measurement. Electronics Letters 2006, 42(11):612-614.
27. Takeda R., Tadano S., Natorigawa A., Todoh M., Yoshinari S. Gait posture estimation using wearable acceleration and gyro sensors. Journal of Biomechanics 2009, 42(15):2486-2494.
28. Veltink P., Slycke P., Hemssems J., Buschman R., Bultstra G., Hermens H. Three dimensional inertial sensing of foot movements for automatic tuning of a two-channel implantable drop-foot stimulator. Medical Engineering & Physics 2003, 25(1):21-28.
29. O'Donovan K.J., Kamnik R., O'Keeffe D.T., Lyons G.M. An inertial and magnetic sensor based technique for joint angle measurement. Journal of Biomechanics 2007, 40(12):2604-2611.
30. Roetenberg D., Luinge H.J., Baten C.T., Veltink P.H. Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2005, 13(3):395-405.
31. Roetenberg D., Slycke P.J., Veltink P.H. Ambulatory position and orientation tracking fusing magnetic and inertial sensing. IEEE Transactions on Biomedical Engineering 2007, 54(5):883-890.
32. Beravs T., Rebersek P., Novak D., Podobnik J., Munih M. Development and validation of a wearable inertial measurement system for use with lower limb exoskeletons. Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on, IEEE 2011, 212-217.
33. Roetenberg D., Luinge H., Slycke P. Xsens MVN: full 6DOF human motion tracking using miniature inertial sensors, Xsens Motion Technologies BV, Tech. Rep. 2009.
34. Chesnin K.J., Selby-Silverstein L., Besser M.P. Comparison of an in-shoe pressure measurement device to a force plate: concurrent validity of center of pressure measurements. Gait & Posture 2000, 12(2):128-133.
35. Kalman R.E. A new approach to linear filtering and prediction problems. Journal of Basic Engineering 1960, 82(1):35-45.
36. Greg W., Gary B. An Introduction to the Kalman Filter 2006, Department of Computer Science, University of North Carolina at Chapel Hill, North Carolina.
37. Hanson A.J. Visualizing quaternions. ACM SIGGRAPH 2005 Courses 2005, ACM.