Paper
1 April 1991 Body shape changes in the elderly and the influence of density assumptions on segment inertia parameters
Robert K. Jensen, P. Fletcher, C. Abraham
Author Affiliations +
Proceedings Volume 1380, Biostereometric Technology and Applications; (1991) https://doi.org/10.1117/12.25112
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
The segment mass mass proportions and moments of inertia of a sample of twelve females and seven males with mean ages of 67. 4 and 69. 5 years were estimated using textbook proportions based on cadaver studies. These were then compared with the parameters calculated using a mathematical model the zone method. The methodology of the model was fully evaluated for accuracy and precision and judged to be adequate. The results of the comparisons show that for some segments female parameters are quite different from male parameters and inadequately predicted by the cadaver proportions. The largest discrepancies were for the thigh and the trunk. The cadaver predictions were generally less than satisfactory although the common variance for some segments was moderately high. The use ofnon-linear regression and segment anthropometry was illustrated for the thigh moments of inertia and appears to be appropriate. However the predictions from cadaver data need to be examined fully. These results are dependent on the changes in mass and density distribution which occur with aging and the changes which occur with cadaver samples prior to and following death.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert K. Jensen, P. Fletcher, and C. Abraham "Body shape changes in the elderly and the influence of density assumptions on segment inertia parameters", Proc. SPIE 1380, Biostereometric Technology and Applications, (1 April 1991); https://doi.org/10.1117/12.25112
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Cited by 3 scholarly publications.
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KEYWORDS
Mathematical modeling

Biostereometrics

Error analysis

Head

Image segmentation

3D modeling

Technologies and applications

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