Jang, J;
Mariconti, E;
Watts, R;
(2024)
Technical note: Analysis of the auricular surface for age estimation using dirichlet normal energy.
Forensic Imaging
, 36
, Article 200579. 10.1016/j.fri.2024.200579.
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Abstract
Traditional age estimation methods are prone to subjectivity, leading to a decrease in the reliability and repeatability of estimated ages in skeletal assemblages. In an attempt to reduce the level of subjectivity, this research applied a computational method designed to analyze surface topography, Dirichlet Normal Energy (DNE), to provide a mathematical assessment of age-related degeneration in the auricular surface. Reconstructed 3D models of 153 archaeological individuals were created by laser scanning and analyzed using the R studio package MolaR. DNE values showed moderate correlations with age phase (Buckberry-Chamberlain and Lovejoy), for the auricular surface as a whole as well as a number of topographical features (surface undulation, apical activity, macroporosity). Most encouragingly, this method had an extremely low levels of intra-observer error, which makes it repeatable and potentially more objective than traditional age estimation methods.
| Type: | Article |
|---|---|
| Title: | Technical note: Analysis of the auricular surface for age estimation using dirichlet normal energy |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.fri.2024.200579 |
| Publisher version: | http://dx.doi.org/10.1016/j.fri.2024.200579 |
| Language: | English |
| Additional information: | © 2024 The Authors. Published by Elsevier Ltd. under a Creative Commons license (dhttp://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Keywords: | Curvature analysis, Auricular surface, Age estimation, Dirichlet normal energy, Intra-observer error |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10188401 |
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