Reference:
Gittoes, M. J. R., Bezodis, I. N. and Wilson, C., 2009. An image-based approach to obtaining anthropometric measurements for inertia modeling. Journal of Applied Biomechanics, 25 (3), pp. 265-270.
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Official URL:
http://journals.humankinetics.com/jab-back-issues/JABVolume25Issue3August/AnImageBasedApproachtoObtainingAnthropometricMeasurementsforInertiaModeling
Abstract
This study aimed to develop and evaluate an image-based method of obtaining anthropometric measurements for accurate subject-specific inertia parameter determination using Yeadon’s (1990) inertia model. Ninety-five anthropometric measurements were obtained directly from five athletic performers and indirectly from digitization of subject-specific whole-body still images. The direct and image-based measurements were used as input into Yeadon’s (1990) inertia model. The overall absolute error in predicted whole-body mass achieved using the image-based approach (2.87%) compared well to that achieved using the direct measurements (2.10%). The inclusion of image-based anthropometric measurements obtained from extremity (hand and feet) images was not found to consistently improve model accuracy achieved using whole-body images only. The presented method provides a successful alternative to direct measurement for obtaining anthropometric measurements required for customized inertia modeling. The noninvasive image-based approach is benefited by the potential for obtaining subject-specific measurements from large samples of subjects and elite athletic performers for whom time-consuming data collections may be undesirable.
| Item Type | Articles |
| Creators | Gittoes, M. J. R., Bezodis, I. N. and Wilson, C. |
| Departments | Faculty of Humanities & Social Sciences > Health |
| Publisher Statement | image-based-approach-2009.pdf: © 2009 Human Kinetics, Inc. Article used with permission from the publisher. Please cite this article as follows: Gittoes, M.J.R., Bezodis, I.N., Wilson, C., 2009. An image-based approach to obtaining anthropometric measurements for inertia modeling. Journal of Applied Biomechanics, 25 (3), pp. 265-270. |
| Refereed | Yes |
| Status | Published |
| ID Code | 17685 |
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