Human body prediction of size and shape: a hormonal framework
To achieve high prediction accuracy with minimal inputs from online retail respondents, a method was developed and tested to predict the size and shape of the human body in 3D using a hormonal framework. The prediction method is based on geometric morphometrics, image analysis, and kernel partial least squares regression. The inputs required are answers to three closed-ended questions and a passport photo. Prediction accuracy was tested with the 3D body scan dataset of the Civilian American and European Surface Anthropometry Resource project. Results from the test dataset showed that approximately 82% of the error expectations of landmarks followed a log-normal distribution with an expectation of 8.816 mm and standard deviation of 1.180 mm. The remaining 18% of the error expectations of landmarks followed a log-normal distribution with an expectation of 18.454 mm and standard deviation of 8.844 mm, which may herald future research. In addition to accuracy, the prediction method allows for visualisation of results as real-size meshes in millimeters.
Sexual dimorphism in body composition across human populations: Associations with climate and proxies for short- and long-term energy supply
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1 Bar Graphs Depicting Mean Cranial Capacity (dark gray with sample
Sexual dimorphism in body composition across human populations: Associations with climate and proxies for short- and long-term energy supply
Scammon growth curves showing different parts and tissues of the body.
Maternal tendencies in women are associated with estrogen levels and facial femininity
Maternal tendencies in women are associated with estrogen levels and facial femininity
PDF] 3 D Shape-based Body Composition Prediction Model Using Machine Learning
The depiction of allometric and non-allometric shape differences
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Polycystic ovary syndrome
Correlation between anthropometry and body composition. ABSI – a body
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Sexual dimorphism in body composition across human populations: Associations with climate and proxies for short- and long-term energy supply
