Measurement and Analysis of Human Lower Limbs Movement Parameters during Walking


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It is necessary to analyze human gait for treatment and rehabilitation of human with musculoskeletal disorders of the locomotion apparatus (LA). The main goal of this work is evaluation of locomotion apparatus motion parameters captured by inertial measurement units (IMU) during walking. Motion Capture technology is process of getting practical results and data from IMU installed in different parts of human lower limbs. Synchronously, IMU send information about human movements to PC at the same moment of time. Such method gives an opportunity to follow parameters in some points of human leg in real time. The way of devices mounting and instruction for human under monitoring are based on related medical projects. Walking is selected for estimation of the musculoskeletal system as typical action. Experiment results got from several experiments were considered and analyzed.Basically, walking is described as a set of the system “human” discrete states. In the same time, the IMU sensors transmit motion parameters data continuously. It is proposed to present the man as a system with a control signal in the form of the double support period. The length will be measured using data from IMU. Double support period is chosen because its presence distinguishes walking from running.The most attention is given to getting the same practical results and data that can be obtained by placing the devices in different parts of the body. Moreover, a technique of using inertial measurement devices for measuring human motion to get some numerical results is shown. The use of this technique in practice demonstrated that it can be used to obtain an objective parameter describing the motion of the person. Continuation of this work is directed to create a complete model of the lower limbs motion for usage in practice [1].



Solid State Phenomena (Volumes 220-221)

Edited by:

Algirdas V. Valiulis, Olegas Černašėjus and Vadim Mokšin




S. Zhigailov et al., "Measurement and Analysis of Human Lower Limbs Movement Parameters during Walking", Solid State Phenomena, Vols. 220-221, pp. 538-543, 2015

Online since:

January 2015




* - Corresponding Author

[1] Information on: http: /www. smartsport. org.

[2] R. E. Mayagoitiaa, A.V. Neneb, P.H. Veltinkc, Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems, Journal of Biomechanics 35 (2002) 537–54.


[3] J. Rueterboriesa, E.G. Spaich, B. Larsen, O.K. Andersen, Methods for gait event detection and analysis in ambulatory systems, Medical Engineering & Physics 32 (2010) 545–552.


[4] G. Aryassov, A. Kuznetcov, V. Musalimov, S. Zhigailov, Lower limb mathematical modeling with inertial motion capture during normal walking, in: 4th International Conference on Integrity, Reliability & Failure, 2013, Funchal, in press.

[5] B. Jansen, M. Tan, I. Bautmans, B. Van Keymolen, T. Mets, R. Deklerck, Аcelerometer Based Gait Analysis Multi Variate Assessment of Fall Risk with FD-Neat, information on: http: /www. etro. vub. ac. be/PUB_Files/IRIS/bjansen/BiosignalsJansen2011. pdf.

[6] F. Bugané, M. G. Benedetti, G. Casadio, S. Attala, F. Biagi, M. Manca, A. Leardini, Estimation of spatial-temporal gait parameters in level walking based on a single accelerometer: validation on normal subjects by standard gait analysis, Computer methods and programs in biomedicine (2012).


[7] A. Sant'Anna, N. Wickstrom. A Linguistic Approach to the Analysis of Accelerometer Data for Gait Analysis, in: Proceedings of the 7th IASTED International conference on biomedical engineering, (2010).

[8] H. Dejnabadi, B. M. Jolles, K. Aminian, A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes, IEEE Transactions on Biomedical Engineering (2005).


[9] M. Boutaayamou, C. Schwartz, J. Stamatakis, V. Denoël, D. Maquet, B. Forthomme, J-L Croisier, B. Macq, J. G. Verly, G. Garraux, O. Brüls, Validated extraction of gait events from 3d accelerometer recordings, in: IEEE International Conference on 3D Imaging, (2012).


[10] J. Alonso, F. Romero, R. Ramies-Vila, U. Lugris, J.M. Font-Liagunes, A simple approach to estimate muscle forces and orthosis actuation in powered assisted walking of spinal cord-injured, Multibody System Dynamics 28 (2012).