Gait Parameters Determination by 2D Optical Motion Analyzer System

Abstract:

Article Preview

In the present work, an optical motion-capture system combined with software for 2D clinical gait analysis is utilized to determine spatiotemporal gait parameters such as stride-length, cadence, cycle-time, and speed as well as joint angles. The developed system consists of a video camera with a maximum speed of 90 fps, LED markers, PC and technical computing software, which are developed for tracking markers attached to human body during motion and to calculate kinematics and kinetics parameters of human gait. Gait data of 60 subjects within the age group between 18 to 49 years are measured as part of an effort to develop normal walking database of Indonesian people. In the experiments, the subject is instructed to walk in a specially-arranged measurement area, which is calibrated using the Direct Linear Transformation (DLT) method. Before the measurement, the body posture of each subject is evaluated to ensure normalcy. To validate the system, the obtained gait data is compared to the available normal walking database, and the results obtained by the system show good compatibility.

Info:

Periodical:

Edited by:

Abdul Nassir bin Ibrahim, Meor Yusoff Meor Sulaiman, Wan Saffiey Wan Abdullah, Mohd Reusmaazran Yusof, Amry Amin Abas and Khairiah Mohd Yazid

Pages:

123-129

DOI:

10.4028/www.scientific.net/AMM.83.123

Citation:

A. I. Mahyuddin et al., "Gait Parameters Determination by 2D Optical Motion Analyzer System", Applied Mechanics and Materials, Vol. 83, pp. 123-129, 2011

Online since:

July 2011

Export:

Price:

$35.00

[1] M. W. Whittle, Gait Analysis: an Introduction, 4th Edition, Elsevier, (2007).

[2] D. A. Winter, Biomechanics and Motor Control of Human Movement, 3rd Edition, John Wiley and Son Inc., New York (2009).

[3] J. Perry, Gait Analysis: Normal and Pathological Function, Slack Inc., Thorofare, NJ (1992).

[4] V. Medved, Measurement of Human Locomotion, CRC Press, New York (2001).

[5] A. I. Mahyuddin, S. Mihradi, T. Dirgantara, N. Juliyad, U. Purba, Development of an Affordable System for 2D Kinematics and Dynamics Analysis of Human Gait, 4th ICEM, Singapore, Nov. 2009. - Proc. of SPIE Vol. 7522, 75222L · ©2010 SPIE - doi: 10. 1117/12. 851654. Proc. edited by C. Quan, K. Qian, A. Asundi, F. S. Chau (2010).

DOI: 10.1117/12.851654

[6] N. Juliyad, S. Mihradi, T. Dirgantara, A. I. Mahyuddin, 2D Experimental Motion Analysis of Human Gait, Regional Conference on Mechanical and Aerospace Technology, Bali, Indonesia, 9-10 Feb. (2010).

[7] U. M. Purba, S. Mihradi, T. Dirgantara, A. I. Mahyuddin, An Inverse Dynamics of Human Walking Based on Experimental Motion Analysis, Regional Conference on Mechanical and Aerospace Technology, Bali, Indonesia, 9-10 Feb. (2010).

[8] T. Ryu, H. S. Choi, H. Choi, M. K. Chung, A comparison of gait characterisics between Korean and Western people for establishing Korean gait reference data, International Journal of Industrial Ergonomics, Vol. 36, Elsevier, (2006), p.1023 – 1030.

DOI: 10.1016/j.ergon.2006.09.013

[9] M. P. Kadaba, H. K. Ramakrishnan, and M. E. Wootten, Measurement of Lower Extremity Kinematics During Level Walking, Journal of Orthopaedic Research, Vol. 3 Raven Press, Ltd., New York (1990), pp.383-392.

DOI: 10.1002/jor.1100080310

[10] A. Sukmajaya, T. Dirgantara, A. I. Mahyuddin, S. Mihradi, Robust Algorithms of Marker Image Processing in Automatic Human Gait Analysis, Regional Conference on Mechanical and Aerospace Technology, Bali, Indonesia, 9-10 Feb. (2010).

In order to see related information, you need to Login.