Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14775
Title: Stature Estimation from Humerus bone in Gorkha Population
Authors: Kumar, Harish
Keywords: Anthropology;Forensic science;Humerus;Personal identification;Stature estimation
Issue Date: 2024
Publisher: Indian Academy of Forensic Medicine
Citation: Sharma, D., & Srivastava, A. (2024). Detecting rumors in social media using emotion based deep learning approach. PeerJ Computer Science. Scopus. https://doi.org/10.7717/peerj-cs.2202
Abstract: Stature estimation is a key aspect of personal identification, especially in absence of other identification markers. One of the most widely used method for stature estimation is to use the measurements of long bones. Extensive studies have proved that humerus, femur, radius, ulna, tibia, and fibula produce substantial accuracy in predicting the stature. However, the regression equation can vary with the population used in prediction. In the present study, the correlation between the humerus length and stature has been explored for the 89 individuals (80 males and 09 females) of Gorkha population of Jharkhand armed forces. For this, the measurements of left and right humerus of males and females were used. Additionally, two methods were used for the measurements and these measurements were compared to see which yielded better results. Significant p-values were obtained for all the measurements suggesting that the results obtained in the present study were significant and can be used in real cases. © 2024, Indian Academy of Forensic Medicine. All rights reserved.
URI: https://doi.org/10.48165/jiafm.2024.46.2.15
https://dspace.iiti.ac.in/handle/123456789/14775
ISSN: 0971-0973
Type of Material: Journal Article
Appears in Collections:Department of Biosciences and Biomedical Engineering

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