Morphometric Sex Estimation from the Hip Bone by Means of the HIP 1.1 Software

2018 ◽  
pp. 78-89
Author(s):  
Miroslav Králík ◽  
Ondřej Klíma ◽  
Petra Urbanová ◽  
Lenka Polcerová ◽  
Martin Čuta
Keyword(s):  
Sex Estimation

Machine learning approaches for sex estimation using cranial measurements

2020 ◽  
Author(s):  
Diana Toneva ◽  
Silviya Nikolova ◽  
Gennady Agre ◽  
Dora Zlatareva ◽  
Vassil Hadjidekov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Approaches ◽  
Sex Estimation ◽  
Cranial Measurements

scholarly journals Sex estimation of teeth at different developmental stages using dimorphic enamel peptide analysis

2021 ◽  
Author(s):  
Rebecca Gowland ◽  
Nicolas A. Stewart ◽  
Kayla D. Crowder ◽  
Claire Hodson ◽  
Heidi Shaw ◽  
...  
Keyword(s):  
Developmental Stages ◽  
Sex Estimation ◽  
Peptide Analysis

Discriminant functions for sex estimation using the rib necks in a Spanish population

2021 ◽  
Author(s):  
Manuel Partido Navadijo ◽  
Ignacio Fombuena Zapata ◽  
Erik Adrián Borja Miranda ◽  
Inmaculada Alemán Aguilera
Keyword(s):  
Spanish Population ◽  
Sex Estimation ◽  
Discriminant Functions

Sex estimation from the tarsal bones in a Portuguese sample: a machine learning approach

2014 ◽  
Vol 129 (3) ◽  
pp. 651-659 ◽  
Author(s):  
David Navega ◽  
Ricardo Vicente ◽  
Duarte N. Vieira ◽  
Ann H. Ross ◽  
Eugénia Cunha
Keyword(s):  
Machine Learning ◽  
Learning Approach ◽  
Sex Estimation ◽  
Tarsal Bones ◽  
Machine Learning Approach

Comparison of Two Classification Models for Sex Estimation Based on Bone Length of Hispanic Population

2021 ◽  
Author(s):  
Mohd. Faaizie Darmawan ◽  
Ferda Ernawan ◽  
Ahmad Firdaus Zainal Abidin ◽  
Fajar Agung Nugroho ◽  
Mohd Zamri Osman
Keyword(s):  
Sex Estimation ◽  
Hispanic Population ◽  
Classification Models ◽  
Bone Length

Description and Quantification of Sexual Dimorphism of Pubic Body Shape in Hispanic Populations Using Elliptic Fourier Analysis

2021 ◽  
Author(s):  
Erica Cantor ◽  
Krista Latham ◽  
Stephen Nawrocki
Keyword(s):  
Fourier Analysis ◽  
North American ◽  
Principal Component ◽  
Pubic Bone ◽  
Biological Traits ◽  
Sex Estimation ◽  
Age At Death ◽  
Elliptic Fourier Analysis ◽  
Hispanic Populations ◽  
Effective Principal

Sex estimation is important in the creation of a biological profile for unidentified human remains, as positive identification cannot occur until the decedent’s biological traits have been determined and the range of possible matches has been narrowed. The pubic bone is cited as one of the best indicators of sex due to the constraints of childbirth. Current methods that use the pubic bone for sex estimation, however, rely on poorly defined and subjective observations that are susceptible to inter-and intraobserver error. Additionally, many of the methods currently in use are based on North American populations and thus may not necessarily model the variation seen in other populations around the globe. The aim of this study is to gain a better understanding of variation in pubic bone shape in Hispanic populations by separating the influences of sex, ancestry, and age at death. A total of 164 pubic bones from North American Hispanic and Chilean individuals were compared to 287 pubic bones from individuals of Euro-American ancestry from North American collections, using Elliptic Fourier analysis (EFA) of photographs, principal component analysis, and ANCOVA. EFA generated five effective principal components that collectively describe approximately 95% of the variation in the shape of the pubic body. Sex, age at death, and ancestry were all found to significantly influence shape but explained only 25% of the overall variation. The remaining 75% is likely influenced by variables that cannot be controlled for in anthropological analysis, underscoring how little variance in skeletal morphology is actually explainable.

Sign in / Sign up

Export Citation Format

Share Document