SAE Technical Paper Series 2010
DOI: 10.4271/2010-22-0001
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The Consequences of Average Curve Generation: Implications for Biomechanics Data

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Cited by 4 publications
(9 citation statements)
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“…This is supported by the findings of numerous previous studies, for example Nusholtz et al [21] who suggest that averaging several samples may not reflect the underlying biomechanics, in the event that the responses of several samples were fundamentally different. Instead of scaling the experimental data, scaling or morphing the HBM geometry to each subject's anthropometry is recommended to improve consistency of the impact conditions for each body part with the experiment.…”
Section: Usage For Hbm Evaluationsupporting
confidence: 76%
“…This is supported by the findings of numerous previous studies, for example Nusholtz et al [21] who suggest that averaging several samples may not reflect the underlying biomechanics, in the event that the responses of several samples were fundamentally different. Instead of scaling the experimental data, scaling or morphing the HBM geometry to each subject's anthropometry is recommended to improve consistency of the impact conditions for each body part with the experiment.…”
Section: Usage For Hbm Evaluationsupporting
confidence: 76%
“…Statement 4 above does not indicate how different the shapes or magnitudes have to be for the RC not to be the best representation of the shape. To estimate what level of difference is needed, in the magnitude and/or shape, see Nusholtz et al (2010).…”
Section: Average Shape Coefficientmentioning
confidence: 99%
“…In other words, the RC is a "valid" summary of the signal shape for the signal set only when all the signals belonging to the same set are independent replications of the same phenomenon. Consequently, the shape is functionally the same for each signal the only difference in shape among the signals is assumed to be to random variation (Nusholtz et al 2010).…”
Section: Representative Curve Testmentioning
confidence: 99%
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