Outline Shape Analysis on the Trochlear Constriction and Olecranon Fossa of the Humerus: Insights for Sex Estimation and a New Computational Tool,
Abstract
Abstract Sex estimation through visual analysis of the distal humerus can contribute to establishing the biological profile of an unidentified skeletal individual. Using statistical shape modeling, the trochlear constriction open curves and olecranon fossa closed outlines of 151 humeri were digitized and analyzed. The shape configurations exhibited strikingly different degrees of sexual dimorphism when evaluated using linear discriminant analysis with leave‐one‐out cross‐validation. The trochlear constriction performed poorly, correctly classifying 63.6% of the individuals. However, the olecranon fossa showed high sexual dimorphism, presenting a 94.0% accuracy. A simpler model using only two principal components was also generated. While the accuracy is slightly inferior (88.1%), it has the advantage of being constrained to bidimensional components that were translated into morphoscopic variables within a simulator interface. This allowed us to implement the method through a web application that does not require users to be trained in landmark digitization or have knowledge of geometric morphometrics.
- Authors:
-
- Laboratory of Forensic Anthropology Department of Life Sciences Calçada Martim de Freitas University of Coimbra Coimbra 3000‐456 Portugal
- Laboratory of Forensic Anthropology Department of Life Sciences Calçada Martim de Freitas University of Coimbra Coimbra 3000‐456 Portugal, Institute of Cognitive and Evolutionary Anthropology University of Oxford Banbury 64 Oxford OX2 6PN UK
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1523678
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of Forensic Sciences
- Additional Journal Information:
- Journal Name: Journal of Forensic Sciences Journal Volume: 64 Journal Issue: 6; Journal ID: ISSN 0022-1198
- Publisher:
- Wiley-Blackwell
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Ammer, Saskia, d'Oliveira Coelho, João, and Cunha, Eugénia Maria. Outline Shape Analysis on the Trochlear Constriction and Olecranon Fossa of the Humerus: Insights for Sex Estimation and a New Computational Tool,. United States: N. p., 2019.
Web. doi:10.1111/1556-4029.14096.
Ammer, Saskia, d'Oliveira Coelho, João, & Cunha, Eugénia Maria. Outline Shape Analysis on the Trochlear Constriction and Olecranon Fossa of the Humerus: Insights for Sex Estimation and a New Computational Tool,. United States. https://doi.org/10.1111/1556-4029.14096
Ammer, Saskia, d'Oliveira Coelho, João, and Cunha, Eugénia Maria. Fri .
"Outline Shape Analysis on the Trochlear Constriction and Olecranon Fossa of the Humerus: Insights for Sex Estimation and a New Computational Tool,". United States. https://doi.org/10.1111/1556-4029.14096.
@article{osti_1523678,
title = {Outline Shape Analysis on the Trochlear Constriction and Olecranon Fossa of the Humerus: Insights for Sex Estimation and a New Computational Tool,},
author = {Ammer, Saskia and d'Oliveira Coelho, João and Cunha, Eugénia Maria},
abstractNote = {Abstract Sex estimation through visual analysis of the distal humerus can contribute to establishing the biological profile of an unidentified skeletal individual. Using statistical shape modeling, the trochlear constriction open curves and olecranon fossa closed outlines of 151 humeri were digitized and analyzed. The shape configurations exhibited strikingly different degrees of sexual dimorphism when evaluated using linear discriminant analysis with leave‐one‐out cross‐validation. The trochlear constriction performed poorly, correctly classifying 63.6% of the individuals. However, the olecranon fossa showed high sexual dimorphism, presenting a 94.0% accuracy. A simpler model using only two principal components was also generated. While the accuracy is slightly inferior (88.1%), it has the advantage of being constrained to bidimensional components that were translated into morphoscopic variables within a simulator interface. This allowed us to implement the method through a web application that does not require users to be trained in landmark digitization or have knowledge of geometric morphometrics.},
doi = {10.1111/1556-4029.14096},
journal = {Journal of Forensic Sciences},
number = 6,
volume = 64,
place = {United States},
year = {Fri May 31 00:00:00 EDT 2019},
month = {Fri May 31 00:00:00 EDT 2019}
}
https://doi.org/10.1111/1556-4029.14096
Web of Science
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