Age estimation by facial analysis based on applications available for smartphones.

Autor:	Rezende Machado AL; Universidade de São Paulo, Faculdade de Odontologia de Ribeirão Preto, Curso de Graduação em Odontologia (Iniciação Científica), Brasil., Dezem TU; Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba, Programa de Pós-Graduação em Biologia Buco-Dental. Aluna de Doutorado (Odontologia Legal), Brasil., Bruni AT; Universidade de São Paulo, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Brasil., Alves da Silva RH; Universidade de São Paulo, Faculdade de Odontologia de Ribeirão Preto, Brasil.
Jazyk:	angličtina
Zdroj:	The Journal of forensic odonto-stomatology [J Forensic Odontostomatol] 2017 Dec 01; Vol. 35 (2), pp. 55-65. Date of Electronic Publication: 2017 Dec 01.
Abstrakt:	Background: Forensic Dentistry has an important role in the human identification cases and, among the analyses that can be performed, age estimation has an important value in establishing an anthropological profile. Modern technology invests for new mechanisms of age estimation: software apps, based on special algorithms, because there is not interference based on personal knowledge, cultural and personal experiences for facial recognition. Materials and Methods: This research evaluated the use of two different apps: "How Old Do I Look? - Age Camera" and "How Old Am I? - Age Camera, Do You Look Like in Selfie Face Pic?", for age estimation analysis in a sample of 100 people (50 females and 50 males). Univariate and multivariate statistical methods were used to evaluate data. Results: A great reliability was seen when used for the male volunteers. However, for females, no equivalence was found between the real age and the estimated age. Conclusion: These applications presented satisfactory results as an auxiliary method, in male images.
Databáze:	MEDLINE
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