A mathematical model is developed to estimate the personalized inertial data of living human bodylinkages. Instead of the
laborious imaging and mechanical measurements, this study incorporates the inertial formulae of the existing mathematical
models and is devoted to derive the mathematical equations to give the better morphological resemblance to the bodylinkages,
especially for head, neck, thorax, pelvis, thighs, and feet. All the inertial formulae are given in the context and programmable
for the common-used computer languages. The model segments the human body into 17 main bodylinkages. With the inertial
formulae available in this study, the shape fluctuations of bodylinkages can be modeled by further fragmentation into many
subsolids for more accurate prediction. With an example in this study, the mean error of the model prediction for body mass is
1.28% with 20-min anthropometric measurements and 2.3-sec execution time on a personal computer. For its accuracy and
easy programmability, this model provides a convenient tool of estimating personalized inertial data of living subject in contrast
to comparatively laborious experimental procedures.
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