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Segmentation of the human body based on frequency of human electromagnetic radiation

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


Official URL: http://dx.doi.org/10.11591/ijeecs.v18.i1.pp268-275


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.

Item Type:Article
Uncontrolled Keywords:frequency, human body segment, human electromagnetic
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:89798
Deposited By: Yanti Mohd Shah
Deposited On:04 Mar 2021 10:45
Last Modified:04 Mar 2021 10:45

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