Comparing Log-based and Exponent-based Functions to Predict Human Height by Foot Length

Background: Human height estimation is critical in medicolegal cases. This anthropometric measurement not only reveals racial differences but also aids police investigation to narrow down. Foot size varies different races and ethnic groups, because of genetic influence on development height. The present study aimed explore the relationship between foot a person particular context. current research compared log-based function exponent-based which best fits relation age, size, Methods: cross-sectional included measurements from 240 participants 6 age groups range 2-21 years. length were recorded as per standard methods after obtaining ethical approval Institutional Review Board COMSATs University Islamabad Pakistan gaining consent participants. Correlation regression analyses performed using SPSS V 23. In this study, two mathematical functions more accurately predict behavior variables. appropriateness these candidate was evaluated statistical parameters, including Sum Squared Errors (SSE), R2, adjusted Root Mean Square Error (RMSE). Results: mean male group 3-5 years higher than that female Among 6-10-year-olds 11-15-year-olds, presented greater males. 16-20 ≥21 years, males taller females. average females all 22.09 cm 20.44 cm, respectively. fitted height, function. Conclusion: indicated highest correlation with minimum error stature. Therefore, provided reliability accuracy estimating