Stature estimation from handprint measurements: an application to the medicolegal investigation

Egyptian Journal of Forensic Sciences

article

Asadujjaman¹  Hossain,Golzer¹  Rana,Sohel¹  Islam,Zahidul¹ 

[1] Department of Industrial & Production Engineering, Rajshahi University of Engineering & Technology;School of Engineering & Information Technology, University of New South Wales

关键词: Stature estimation;    Handprint measurements;    Forensic anthropmetry;    Forensic identification;    Medicolegal investigation;    Regression analysis;   

DOI  :  10.1186/s41935-020-00215-1

学科分类：心脏病和心血管学

来源: Springer

【 摘 要 】

The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Bangladeshi adults (100 men and 100 women) with no physical disabilities participated in this study. Stature and seven anthropometric measurements were measured using standard anthropometric measurements. The bilateral asymmetry was tested using the independent t test. The Pearson’s correlation coefficient (R) between the stature and different handprint measurements was calculated. Consequently, the simple and multiple linear regression models were developed to estimate the stature from the handprint measurements. The bilateral asymmetry was statistically not significant (p > 0.05) in right and left handprints. Sex difference significantly (p < 0.05) influences the relationship between stature and handprint measurements. A positive and strong coefficient of correlation (R) value presents between stature and the handprint measurements. The right 2nd digit length in men (R = + 0.709, R2 = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R2 = 0.305, SEE = ± 49.074 mm) were the most reliable estimator of stature. However, when data were combined for both sexes, the right handprint length was identified as the most reliable estimator of stature with higher values of R (+ 0.777) and R2 (0.603), and a lower value of SEE (± 55.520). Multiple regression equation showed greater reliability than linear regression equations in stature estimation from handprint measurements in Bangladeshi population. It was concluded that the estimation of stature from handprint measurements is possible and reliable. The findings of this study are very useful from the forensic and medicolegal point of view and can use to estimate the stature in Bangladeshi population.

【 授权许可】

CC BY