Analysis of Android-based Body Health Monitoring System Results using Fuzzy Mamdani Method

DOI

10.2991/ahe.k.220205.063How to use a DOI?

Keywords

Algorithm; Body Health; Fuzzy Mamdani; Health Detection

Abstract

In a health monitoring system, an Android-based Health Detector (AHD) application uses fuzzy Mamdani to detect health concerns. The data given can be used as an input for multi-sensor readings produced from physiological health detection. The body’s total health is determined when the detected health is merged with the fuzzy Mamdani algorithm. Anger, apathy, and apathy were calculated as variables. The fuzzy Mamdani method to body health problems involves creating fuzzy sets, applying implications functions, and synthesizing rules. This study found that aging affects both men’s and women’s health. Persons over 65 are more likely than younger people to suffer health issues, even if only a minority of them have been diagnosed. The fuzzy Mamdani technique had a high accuracy rate of 93.33 percent in this study.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Ade Silvia Handayani
AU  - Ahmad Taqwa
AU  - Irawan Hadi
AU  - Martinus Mujur Rose
AU  - Nyayu Latifah Husni
AU  - Sopian Soim
AU  - Sanyyah Plowerita
PY  - 2022
DA  - 2022/02/14
TI  - Analysis of Android-based Body Health Monitoring System Results using Fuzzy Mamdani Method
BT  - Proceedings of the 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021)
PB  - Atlantis Press
SP  - 355
EP  - 362
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.220205.063
DO  - 10.2991/ahe.k.220205.063
ID  - Handayani2022
ER  -