Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand

Age estimation is applied in anthropology of forensic to facilitate the identification of a living person or the remains of individuals. Nevertheless, the uniqueness of the estimation models is only appropriate to a particular population. The common models are also inter and intra-observer variabili...

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Main Authors:	Mohd Faaizie, Darmawan, Mohd Zamri, Osman, Kohbalan, Moorthy
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/19969/ http://umpir.ump.edu.my/id/eprint/19969/ http://umpir.ump.edu.my/id/eprint/19969/ http://umpir.ump.edu.my/id/eprint/19969/1/42.%20Age%20Estimation%20of%20Asian%20Using%20Soft%20Computing%20Model%20Based%20on%20Bone%20Length%20of%20Left%20Hand1.pdf

id	ump-19969
recordtype	eprints
spelling	ump-199692018-11-21T04:41:40Z http://umpir.ump.edu.my/id/eprint/19969/ Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand Mohd Faaizie, Darmawan Mohd Zamri, Osman Kohbalan, Moorthy Q Science (General) Age estimation is applied in anthropology of forensic to facilitate the identification of a living person or the remains of individuals. Nevertheless, the uniqueness of the estimation models is only appropriate to a particular population. The common models are also inter and intra-observer variability where the dataset used based on qualitative which make the estimated age really depended on the expertise of the anthropologist. This paper propose age estimation focusing on Asian subjects from new-born to 18 years old using bone’ length in left hand. Two soft computing models are used to develop the estimation models which are Artificial Neural Network (ANN) and Support Vector Machine (SVM). The used of length of bone is to create a new age indicator based on quantitative data and the SVM and ANN is really suitable on quantitative data. Based on results produced by these models, the SVM is the best model which is produced the lowest mean square error (MSE) value of 1.917 and 3.775 for both male and female, respectively. To conclude, the SVM is the best model in estimating the age compared to the ANN, based on length of left hand. However, the used of this model is limited only for forensic practice or experimental purpose. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19969/1/42.%20Age%20Estimation%20of%20Asian%20Using%20Soft%20Computing%20Model%20Based%20on%20Bone%20Length%20of%20Left%20Hand1.pdf Mohd Faaizie, Darmawan and Mohd Zamri, Osman and Kohbalan, Moorthy (2018) Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand. Advanced Science Letters, 24 (10). pp. 7559-7565. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12978 doi: 10.1166/asl.2018.12978
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Mohd Faaizie, Darmawan Mohd Zamri, Osman Kohbalan, Moorthy Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand
description	Age estimation is applied in anthropology of forensic to facilitate the identification of a living person or the remains of individuals. Nevertheless, the uniqueness of the estimation models is only appropriate to a particular population. The common models are also inter and intra-observer variability where the dataset used based on qualitative which make the estimated age really depended on the expertise of the anthropologist. This paper propose age estimation focusing on Asian subjects from new-born to 18 years old using bone’ length in left hand. Two soft computing models are used to develop the estimation models which are Artificial Neural Network (ANN) and Support Vector Machine (SVM). The used of length of bone is to create a new age indicator based on quantitative data and the SVM and ANN is really suitable on quantitative data. Based on results produced by these models, the SVM is the best model which is produced the lowest mean square error (MSE) value of 1.917 and 3.775 for both male and female, respectively. To conclude, the SVM is the best model in estimating the age compared to the ANN, based on length of left hand. However, the used of this model is limited only for forensic practice or experimental purpose.
format	Article
author	Mohd Faaizie, Darmawan Mohd Zamri, Osman Kohbalan, Moorthy
author_facet	Mohd Faaizie, Darmawan Mohd Zamri, Osman Kohbalan, Moorthy
author_sort	Mohd Faaizie, Darmawan
title	Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand
title_short	Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand
title_full	Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand
title_fullStr	Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand
title_full_unstemmed	Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand
title_sort	age estimation of asian using soft computing model based on bone length of left hand
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19969/ http://umpir.ump.edu.my/id/eprint/19969/ http://umpir.ump.edu.my/id/eprint/19969/ http://umpir.ump.edu.my/id/eprint/19969/1/42.%20Age%20Estimation%20of%20Asian%20Using%20Soft%20Computing%20Model%20Based%20on%20Bone%20Length%20of%20Left%20Hand1.pdf
first_indexed	2023-09-18T22:28:37Z
last_indexed	2023-09-18T22:28:37Z
_version_	1777416135321321472

Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand

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