1. Predictive ability of anthropomorphic metrics in determining age and sex of children
- Author
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Dustin A. Bruening, Rebecca E. Frimenko, Charles D. Goodyear, and David R. Bowden
- Subjects
Head size ,Contextual image classification ,Computer science ,Regression analysis ,02 engineering and technology ,Anthropometry ,Torso ,Age and sex ,01 natural sciences ,010309 optics ,medicine.anatomical_structure ,Age estimation ,0103 physical sciences ,Signal Processing ,Linear regression ,Statistics ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,020201 artificial intelligence & image processing ,Computer Vision and Pattern Recognition ,Software - Abstract
Capturing age and sex of subjects from whole-body features has important applications in a wide variety of areas. However, current techniques for determining this information without subject interaction or high-resolution images are problematic. While computer vision techniques (e.g. poselets and histogram-oriented gradients) are functional at a stand-off, these methods often include areas influenced by characteristics such as clothing or hairstyle which vary by region and culture. Whole-body anthropometrics, especially those of children and youth experiencing rapid musculoskeletal changes, may help inform robust models of age estimation and sex classification. Models of anthropometric variables were developed from a pre-existing database for age estimation using linear regression techniques. Sex classification was performed both over the entire subject group as well as three individual age bins (2 ≤ subject age < 8, 8 ≤ subject age < 14, and 14 ≤ subject age). Age estimation models were highly dependent on head size and exhibited r-squared values as high as 0.91 and root mean square error values as low as 1.29 years. Sex classification was found to be highly linked to a combination of foot, hand, hip, and torso metrics for correct classification as high as 88%. The results presented herein may help develop and focus methods of determining age and sex.
- Published
- 2016
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