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Nurul Aini Bani
Universiti Teknologi Malaysia (UTM)

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Segmentation of the human body based on frequency of human electromagnetic radiation Siti Zura A. Jalil; Siti Armiza Mohd Aris; Nurul Aini Bani; Mohd Nabil Muhtazaruddin; Sahnius Usman
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp268-275

Abstract

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.
Co-Authors Mohd Nabil Muhtazaruddin Sahnius Usman Siti Armiza Mohd Aris Siti Zura A. Jalil