Body Mass Index Measurement System using Image Processing

Abdullah Sani, Elsa Agatya Marlin

Abstract

In general, to know the ideal body weight, one must first weigh the weight and measure its height manually. After that do the calculations with certain mathematical formulas so that a conclusion about the condition is ideal body weight. However, it is less efficient especially if applied in bulk. Therefore, the author will create a system with the Image Processing application in real-time using the webcam by specifying the height and width of the body at a specific distance and scale that applies the calculation of the value of the pixel values where the pixel value is as a reference as a variable function to obtain the person's height and weight estimate. Then after gaining height and weight than the calculation of Body Mass Index with Broca formula to be useful as an identification system in effectively measuring human body mass index. This system can be used as a system that can require humans to more efficient time and reduce human error. The output generated from this system is the high value, weight, and BMI values of the person's body whether the condition is ideal or not.

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Paper Citation


in Harvard Style

Sani A. and Marlin E. (2020). Body Mass Index Measurement System using Image Processing. In Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE, ISBN 978-989-758-520-3, pages 81-84. DOI: 10.5220/0010352000810084


in Bibtex Style

@conference{icae20,
author={Abdullah Sani and Elsa Agatya Marlin},
title={Body Mass Index Measurement System using Image Processing},
booktitle={Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE,},
year={2020},
pages={81-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010352000810084},
isbn={978-989-758-520-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE,
TI - Body Mass Index Measurement System using Image Processing
SN - 978-989-758-520-3
AU - Sani A.
AU - Marlin E.
PY - 2020
SP - 81
EP - 84
DO - 10.5220/0010352000810084