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RIVCAM: a simple video-based kinematic analysis for clinical disorders of gait

Churchill, A. J. G., Halligan, Peter and Wade, D. T. 2002. RIVCAM: a simple video-based kinematic analysis for clinical disorders of gait. Computer Methods and Programs in Biomedicine 69 (3) , pp. 197-209. 10.1016/S0169-2607(01)00191-2

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This paper describes the development of and reports on the accuracy of the Rivermead video-based clinical gait analysis method (RIVCAM), a simple and comparatively inexpensive movement recording system, which operates at 50 Hz. The system comprises five basic steps; firstly subjects are recorded using a PAL video camera with white markers affixed to the leg. Second, the video footage is digitised onto a computer. Thirdly, a program analyses each frame of footage to locate the position of white markers located on the subject's leg. Fourth, the data are calibrated (turned into real world co-ordinates) and the markers on the legs are identified (such as, heel, toe, etc.). Finally, a kinematic analysis is performed on the data, which not only produces a range of relevant spatio-temporal parameters (such as gait velocity, cadence and stride length), but also determines the joint angles at the hip, knee and ankle during the gait cycle. Overall the system has a reasonable constant and variable error; in a recorded scene measuring 2.6×1.6 m and divided into a 3×3 grid, a 400 mm bar was recorded, on average, as being 401.1 mm with a standard deviation (S.D.) of 2.97 mm. Although not without shortcomings when compared with more expensive and complicated systems, the RIVCAM system represents a valid, reliable and affordable way of collecting objective measures of gait in a busy therapy setting.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Psychology
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Uncontrolled Keywords: Gait; Image analysis; Kinematics; Movement recording; Video recording
Publisher: Elsevier
ISSN: 0169-2607
Last Modified: 04 Jun 2017 04:14

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