Comparison of two classification models for sex estimation based on bone length of hispanic population
One of the essential factors of conducting a forensic investigation is to determine sex. Although multiple studies have been conducted using hand bone, the studies using the Hispanic population are minimal. The purpose of this study is to develop the Discriminant Function Analysis (DFA) and Artifici...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33130/ http://umpir.ump.edu.my/id/eprint/33130/1/Comparison%20of%20two%20classification%20models%20for%20sex%20estimation_FULL.pdf http://umpir.ump.edu.my/id/eprint/33130/2/Comparison%20of%20two%20classification%20models%20for%20sex%20estimation.pdf |
| _version_ | 1848824181545762816 |
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| author | Mohd. Faaizie, Darmawan Fajar Agung, Nugroho Ernawan, Ferda Ahmad Firdaus, Zainal Abidin Mohd Zamri, Osman |
| author_facet | Mohd. Faaizie, Darmawan Fajar Agung, Nugroho Ernawan, Ferda Ahmad Firdaus, Zainal Abidin Mohd Zamri, Osman |
| author_sort | Mohd. Faaizie, Darmawan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | One of the essential factors of conducting a forensic investigation is to determine sex. Although multiple studies have been conducted using hand bone, the studies using the Hispanic population are minimal. The purpose of this study is to develop the Discriminant Function Analysis (DFA) and Artificial Neural Network (ANN) model for sex estimation based on the Hispanic population using left-hand bone. The samples used are subjects ranged between age groups of infants and 18 years old which comprised of 91 females and 92 males. For the input, the length of nineteen bones from the subjects’ left hand is measured in centimeters and then normalized to become input for both models. The DFA model is chosen as a benchmark in this study to be compared with the ANN model based on accuracy percentage. The chosen DFA model is due to the widely used in estimating sex based on quantitative input. For the results, the DFA model produces a 72.7% accuracy percentage while the ANN produces 83.8%. Thus, the ANN model is selected to be the most ideal model in estimating sex compared to the DFA model. |
| first_indexed | 2025-11-15T03:08:57Z |
| format | Conference or Workshop Item |
| id | ump-33130 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:08:57Z |
| publishDate | 2021 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-331302022-09-02T07:34:25Z http://umpir.ump.edu.my/id/eprint/33130/ Comparison of two classification models for sex estimation based on bone length of hispanic population Mohd. Faaizie, Darmawan Fajar Agung, Nugroho Ernawan, Ferda Ahmad Firdaus, Zainal Abidin Mohd Zamri, Osman QA76 Computer software One of the essential factors of conducting a forensic investigation is to determine sex. Although multiple studies have been conducted using hand bone, the studies using the Hispanic population are minimal. The purpose of this study is to develop the Discriminant Function Analysis (DFA) and Artificial Neural Network (ANN) model for sex estimation based on the Hispanic population using left-hand bone. The samples used are subjects ranged between age groups of infants and 18 years old which comprised of 91 females and 92 males. For the input, the length of nineteen bones from the subjects’ left hand is measured in centimeters and then normalized to become input for both models. The DFA model is chosen as a benchmark in this study to be compared with the ANN model based on accuracy percentage. The chosen DFA model is due to the widely used in estimating sex based on quantitative input. For the results, the DFA model produces a 72.7% accuracy percentage while the ANN produces 83.8%. Thus, the ANN model is selected to be the most ideal model in estimating sex compared to the DFA model. IEEE 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33130/1/Comparison%20of%20two%20classification%20models%20for%20sex%20estimation_FULL.pdf pdf en http://umpir.ump.edu.my/id/eprint/33130/2/Comparison%20of%20two%20classification%20models%20for%20sex%20estimation.pdf Mohd. Faaizie, Darmawan and Fajar Agung, Nugroho and Ernawan, Ferda and Ahmad Firdaus, Zainal Abidin and Mohd Zamri, Osman (2021) Comparison of two classification models for sex estimation based on bone length of hispanic population. In: 2021 5th International Conference on Informatics and Computational Sciences (ICICoS) , 24-25 Nov. 2021 , Virtual Conference. pp. 1-5.. ISSN 2767-7087 ISBN 978-1-6654-3807-0 (Published) https://doi.org/10.1109/ICICoS53627.2021.9651777 |
| spellingShingle | QA76 Computer software Mohd. Faaizie, Darmawan Fajar Agung, Nugroho Ernawan, Ferda Ahmad Firdaus, Zainal Abidin Mohd Zamri, Osman Comparison of two classification models for sex estimation based on bone length of hispanic population |
| title | Comparison of two classification models for sex estimation based on bone length of hispanic population |
| title_full | Comparison of two classification models for sex estimation based on bone length of hispanic population |
| title_fullStr | Comparison of two classification models for sex estimation based on bone length of hispanic population |
| title_full_unstemmed | Comparison of two classification models for sex estimation based on bone length of hispanic population |
| title_short | Comparison of two classification models for sex estimation based on bone length of hispanic population |
| title_sort | comparison of two classification models for sex estimation based on bone length of hispanic population |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/33130/ http://umpir.ump.edu.my/id/eprint/33130/ http://umpir.ump.edu.my/id/eprint/33130/1/Comparison%20of%20two%20classification%20models%20for%20sex%20estimation_FULL.pdf http://umpir.ump.edu.my/id/eprint/33130/2/Comparison%20of%20two%20classification%20models%20for%20sex%20estimation.pdf |