Method for Estimating Height in People using Multivariable Statistics | Zendy

Amelec Viloria | Zendy; Omar Bonerge Píneda Lezama | Zendy; Noel Varela | Zendy

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Method for Estimating Height in People using Multivariable Statistics

Author(s) -

Amelec Viloria,

Omar Bonerge Píneda Lezama,

Noel Varela

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.11.091

Subject(s) - computer science , identification (biology) , multivariable calculus , clothing , regression , statistics , estimation , regression analysis , artificial intelligence , pattern recognition (psychology) , machine learning , mathematics , history , botany , management , archaeology , control engineering , engineering , economics , biology

Determining the sex, age, height, and race of the subject is the initial phase in the identification of bone remains, as a background, it allows to build a biological profile of an individual, which is the first step for identification when it is not possible to use conventional methods based on fingerprints or identification guided by the recognition of features and/or clothing. The aim of this study was to evaluate Carrea’s method for determining height from the dimensions of temporal maxillary pieces and, in a second step, to propose a mathematical method. A regression equation was determined to allow the correct estimation of height in 58, 3% of the cases with ±5cm and in 98.2% with ±10cm, which is a practical tool for estimating height that must be supported by other methods.

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