Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group

Human beings are social animals. The uniqueness human body size would become the basis of what Bertillon would term anthropometry, a system of personal identification based on the theory that no two people were identical in their body measurements. Person identification is a key element in forensi...

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Main Authors:	T. Nataraja Moorthy, Rasvini Asogan, Suresh Kumar
Format:	Article
Language:	English
Published:	Malaysian Society of Applied Biology 2016
Online Access:	http://journalarticle.ukm.my/11811/ http://journalarticle.ukm.my/11811/ http://journalarticle.ukm.my/11811/1/45_02_07.pdf

id	ukm-11811
recordtype	eprints
spelling	ukm-118112018-07-02T01:16:15Z http://journalarticle.ukm.my/11811/ Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group T. Nataraja Moorthy, Rasvini Asogan, Suresh Kumar, Human beings are social animals. The uniqueness human body size would become the basis of what Bertillon would term anthropometry, a system of personal identification based on the theory that no two people were identical in their body measurements. Person identification is a key element in forensic investigation. Footprint is a valuable item of physical evidence encountered in crime scenes that can be used to determine the stature of an individual for the purpose of identification. There is a strong correlation exists between footprint and stature. Researchers have proved that contemporary population specific standards should be used to formulate the accurate biological profile. The present study aimed to derive multiple regression equations to estimate height from dynamic footprints among one of the Malaysian Indian subethnic group, Malayalees living in Malaysia. The study subject consists of 50 males and 60 females from Malaysian Malayalee population living in Malaysia. The footprints and heights were recorded following the standard procedure and derived multiple regression equation to estimate height from footprints for forensic application. Malaysian Society of Applied Biology 2016-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11811/1/45_02_07.pdf T. Nataraja Moorthy, and Rasvini Asogan, and Suresh Kumar, (2016) Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group. Malaysian Applied Biology, 45 (2). pp. 45-50. ISSN 0126-8643 http://www.mabjournal.com/index.php?option=com_content&view=article&id=565&catid=59:current-view&Itemid=56
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Human beings are social animals. The uniqueness human body size would become the basis of what Bertillon would term anthropometry, a system of personal identification based on the theory that no two people were identical in their body measurements. Person identification is a key element in forensic investigation. Footprint is a valuable item of physical evidence encountered in crime scenes that can be used to determine the stature of an individual for the purpose of identification. There is a strong correlation exists between footprint and stature. Researchers have proved that contemporary population specific standards should be used to formulate the accurate biological profile. The present study aimed to derive multiple regression equations to estimate height from dynamic footprints among one of the Malaysian Indian subethnic group, Malayalees living in Malaysia. The study subject consists of 50 males and 60 females from Malaysian Malayalee population living in Malaysia. The footprints and heights were recorded following the standard procedure and derived multiple regression equation to estimate height from footprints for forensic application.
format	Article
author	T. Nataraja Moorthy, Rasvini Asogan, Suresh Kumar,
spellingShingle	T. Nataraja Moorthy, Rasvini Asogan, Suresh Kumar, Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group
author_facet	T. Nataraja Moorthy, Rasvini Asogan, Suresh Kumar,
author_sort	T. Nataraja Moorthy,
title	Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group
title_short	Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group
title_full	Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group
title_fullStr	Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group
title_full_unstemmed	Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group
title_sort	multiple regression analysis to estimate height fromdynamic footprint anthropometry in malaysia indian sub-ethnic group
publisher	Malaysian Society of Applied Biology
publishDate	2016
url	http://journalarticle.ukm.my/11811/ http://journalarticle.ukm.my/11811/ http://journalarticle.ukm.my/11811/1/45_02_07.pdf
first_indexed	2023-09-18T20:01:12Z
last_indexed	2023-09-18T20:01:12Z
_version_	1777406859968249856

Multiple regression analysis to estimate height fromdynamic footprint anthropometry in Malaysia Indian sub-ethnic group

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