archaeology-anthropology-2018-posters-abstracts

Archaeology & Anthropology 2018

Global Journal of Research and Review

ISSN: 2393-8854

Page 50

October 01-02, 2018

London, UK

Edition of international Conference on

Archaeology and

Anthropology

stimation of sex and population specificity is an important

part of biological identification of unknown human remains.

Skull is usually one of the best markers to determine both

categories. Population affinity is known as a huge variable

when estimating sex, due to different projection of sexually

dimorphic traits, different body size or social and behavioural

habits. Therefore, for forensic purposes the estimation of

ancestry is first necessary step in identification in mixed

populations before estimating sex. The main aim is to study

new virtual method, which uses exocranial surface (from CT

scans or surface scans) for estimation sex and population.

Tested sample consisted of 208 CT scans of individuals from

two recent European populations. The classifier was based on

geometric morphometry analysis (Coherent Point Drift-Dense

Correspondence Analysis, Principal Component Analysis, and

Support Vector Machines) and was able to assess sex on

French population with accuracy over 90%. For improvement

and reliability verification the Czech population sample was

added to studied dataset. Sex was estimated with highest

accuracy of 96.2%. Secondly, we used the same method for

estimating population specificity and the highest accuracy rate

was 92.8% using shape of the skull, which makes it a valuable

tool for both sex and population assessment.

Virtual method using exocranial meshes for testing sex

estimation and population specificity of human skulls

Barbora Musilova, Jaroslav Brůžejk, Šárka Bejdova

and

Jana Velemínska

Charles University, Czech Republic

Glob J Res Rev 2018, Volume 5

DOI: 10.21767/2393-8854-C1-003