Sex Estimation Through Orbital Measurements: A Machine Learning Approach for Forensic Science
George Triantafyllou, George G Botis, Maria Piagkou, Konstantinos Papanastasiou, George Tsakotos, Ioannis Paschopoulos, George K Matsopoulos, Stavroula Papadodima, Francesco Sessa · 2024
Read Sex Estimation Through Orbital Measurements: A Machine Learning Approach for Forensic Science by George Triantafyllou, George G Botis, Maria Piagkou, Konstantinos Papanastasiou, George Tsakotos, Ioannis Paschopoulos, George K Matsopoulos, Stavroula Papadodima, Francesco Sessa (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11674343.txt.
Description
Triantafyllou and co-authors teach a classifier to sex skulls from eye socket measures in a 2024 study. Forensic work starts with sex estimation, and the skull carries strong landmarks. Ninety two dried skulls, thirty five male and fifty seven female, supplied orbital measurements: the optic foramen and canal sizes, plus distances within and between the orbits.
A machine learning classifier trained on those numbers sorted the skulls by sex. Eye sockets survive burial and damage better than many bones, so a reliable orbital method fills a real gap. The study frames the classifier as a tool for casework, where partial remains are the norm rather than the exception.
Catalog record
| CREATOR | George Triantafyllou, George G Botis, Maria Piagkou, Konstantinos Papanastasiou, George Tsakotos, Ioannis Paschopoulos, George K Matsopoulos, Stavroula Papadodima, Francesco Sessa |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |