ESTIMATION OF STATURE FROM FACIAL DIMENSIONS: USING 2D FACIAL IMAGES AMONG HAUSA ETHNIC STUDENTS OF THE FACULTY OF BASIC MEDICAL SCIENCES, BAYERO UNIVERSITY KANO


Aliyu et al.., J Biomed & App Sci FUD (2023) 2:1

Keywords: Stature, Estimation, Facial dimensions, Hausa population.

2024-06-27 DOI: JOBASFUD_2022_1_1_016

Abstract


Background: The identification of a deceased person or any part of his remains, including the face, has become an important tool in forensic anthropology. Stature estimation provides a useful idea in narrowing down the investigation process. The aim of this study is to estimate stature from facial dimensions extracted from 2D facial images. Materials and Methods: Four hundred (400) participants (18-30 years), consisting of 200 males and 200 females were randomly selected. Brief questionnaires were administered to the participants to acquire their basic biometrics: age, sex, height, and weight. The face photo of each participant was captured, which was used to measure the facial dimensions using face art software (Developed by Anatomy Department, BUK). Results: The results showed that stature (height) can significantly (p<0.05) be estimated from different facial dimensions, and all the parameters correlated with stature (p < 0.01). The width of the nose (al-al) was the most correlated among all the facial dimensions. Conclusion: Formulae for estimation of stature from facial dimensions were obtained separately for males (y=a+mc) and for females (y=a+mc). Stature could be estimated from facial dimensions especially from the nasal width.

PDF 224 147

Copyright of published material belongs to the journal