Segmentation of the human body based on frequency of human electromagnetic radiation
This paper discusses the body segment recognition based on human electromagnetic radiation frequency. Twenty-three points of human electromagnetic radiation are studied experimentally from thirty-three healthy human subjects. Three human body segments are considered, namely Left, Right and Chakra. F...
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Institute of Advanced Engineering and Science
2020
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Online Access: | http://eprints.utm.my/id/eprint/89798/1/SitiZuraA2020_SegmentationoftheHumanBodyBasedonFrequency.pdf http://eprints.utm.my/id/eprint/89798/ http://dx.doi.org/10.11591/ijeecs.v18.i1.pp268-275 |
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my.utm.897982021-03-04T02:45:59Z http://eprints.utm.my/id/eprint/89798/ Segmentation of the human body based on frequency of human electromagnetic radiation A. Jalil, Siti Zura Mohd. Aris, Siti Armiza Bani, Nurul Aini Muhtazaruddin, Mohd. Nabil Usman, Sahnius TA Engineering (General). Civil engineering (General) This paper discusses the body segment recognition based on human electromagnetic radiation frequency. Twenty-three points of human electromagnetic radiation are studied experimentally from thirty-three healthy human subjects. Three human body segments are considered, namely Left, Right and Chakra. For the purpose of recognition, k-Nearest Neighbor (KNN) algorithm is used to classify the segments of the human body. Then, the performances of classification are determined based on the accuracy and Receiving Operating Characteristic (ROC) analysis. It is found that the proposed technique accurately classifies the body segments with 100% accuracy, thus suggest that the proposed technique is significant to classify human body segments. Institute of Advanced Engineering and Science 2020-04 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/89798/1/SitiZuraA2020_SegmentationoftheHumanBodyBasedonFrequency.pdf A. Jalil, Siti Zura and Mohd. Aris, Siti Armiza and Bani, Nurul Aini and Muhtazaruddin, Mohd. Nabil and Usman, Sahnius (2020) Segmentation of the human body based on frequency of human electromagnetic radiation. Indonesian Journal of Electrical Engineering and Computer Science, 18 (1). pp. 268-275. ISSN 2502-4752 http://dx.doi.org/10.11591/ijeecs.v18.i1.pp268-275 DOI:10.11591/ijeecs.v18.i1.pp268-275 |
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TA Engineering (General). Civil engineering (General) A. Jalil, Siti Zura Mohd. Aris, Siti Armiza Bani, Nurul Aini Muhtazaruddin, Mohd. Nabil Usman, Sahnius Segmentation of the human body based on frequency of human electromagnetic radiation |
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This paper discusses the body segment recognition based on human electromagnetic radiation frequency. Twenty-three points of human electromagnetic radiation are studied experimentally from thirty-three healthy human subjects. Three human body segments are considered, namely Left, Right and Chakra. For the purpose of recognition, k-Nearest Neighbor (KNN) algorithm is used to classify the segments of the human body. Then, the performances of classification are determined based on the accuracy and Receiving Operating Characteristic (ROC) analysis. It is found that the proposed technique accurately classifies the body segments with 100% accuracy, thus suggest that the proposed technique is significant to classify human body segments. |
format |
Article |
author |
A. Jalil, Siti Zura Mohd. Aris, Siti Armiza Bani, Nurul Aini Muhtazaruddin, Mohd. Nabil Usman, Sahnius |
author_facet |
A. Jalil, Siti Zura Mohd. Aris, Siti Armiza Bani, Nurul Aini Muhtazaruddin, Mohd. Nabil Usman, Sahnius |
author_sort |
A. Jalil, Siti Zura |
title |
Segmentation of the human body based on frequency of human electromagnetic radiation |
title_short |
Segmentation of the human body based on frequency of human electromagnetic radiation |
title_full |
Segmentation of the human body based on frequency of human electromagnetic radiation |
title_fullStr |
Segmentation of the human body based on frequency of human electromagnetic radiation |
title_full_unstemmed |
Segmentation of the human body based on frequency of human electromagnetic radiation |
title_sort |
segmentation of the human body based on frequency of human electromagnetic radiation |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2020 |
url |
http://eprints.utm.my/id/eprint/89798/1/SitiZuraA2020_SegmentationoftheHumanBodyBasedonFrequency.pdf http://eprints.utm.my/id/eprint/89798/ http://dx.doi.org/10.11591/ijeecs.v18.i1.pp268-275 |
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13.2014675 |