Vincent, A. AKPAN and Agbogun, J. B. and Oluwatosin, T. OMOTEHINWA (2019) DEVELOPMENT OF AN AUTOMATIC BODY MASS INDEX MACHINE. In: Ibadan Conference on Biomedical Engineering ICBME, 2019, Ibadan.
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Abstract
Obesity, which refers to excess body fat in the body, has become a popular and important public health problem. Body mass index (BMI) is metric currently in use for defining obesity or anthropometric height/weight characteristics in adults and for classifying them in groups. It is unarguable that rather than error-prone manual BMI calculations, an automatic BMI computation is a preferred option. This paper presents the design and development of a low-cost automatic BMI machine for indoor and out-door use. The proposed automatic BMI machine consists of 7 main sections, namely: 1). MHT1 load-cell arranged in Wheatstone bridge configuration which incorporates internally mounted SR-120 foil-type strain gauges; 2). load-cell HX711 amplifier module; 3). HC-SR04 ultrasonic sensor module; 4). Internet-ready Arduino Mega 2560 real-time embedded system development board; 5). an intelligent YJD1602A-1 liquid crystal display (LCD) module; 6). an automatic two-way backup power supply module; and 7). a mechanical assembly for enclosing the automatic BMI components. The proposed automatic BMI machine have been designed, constructed and deployed for automatic BMI measurements, and the results have been compared with manual measurements. The performance of the proposed low-cost automatic BMI machine shows that it can be used in homes, hospitals, companies as well as in any environments where routine BMI monitoring may be desired. The proposed automatic BMI machine have been designed, constructed and deployed for automatic BMI measurements and the results have been compared with manual measurements where mean errors of the height, weight, and BMI measurements of 0.0133, 1.8125, and 1.0733 respectively were recorded. The performance of the proposed low-cost automatic BMI machine indicates that it can be used in homes, hospitals, companies as well as in any environments where routine BMI monitoring may be desired.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Mathematics |
| Depositing User: | mrs chioma hannah |
| Date Deposited: | 06 Jan 2023 11:00 |
| Last Modified: | 06 Jan 2023 11:00 |
| URI: | http://eprints.gouni.edu.ng/id/eprint/3948 |
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