Design Of Monitoring System of Height, Weight and Body Mass Index Using Android-Based Nodemcu ESP8266

Mariyah El Qibthiyah
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Abstract

Generally, height and weight measurements are carried out separately as well as to determine the Body Mass Index must be calculated manually using specific formulas that not everyone understands, so it is difficult to know whether the body has reached a normal number or not. This study will provide suggested solutions to support the body to be healthy in measuring devices and android applications, for height measurement using ultrasonic sensors, weight using loadcell sensors and NodeMCU ESP8266 as data processors. The results of measuring height and weight appear on an LCD, the results of Body Mass Index (BMI) and the recommended solutions to meet standard body numbers in calculating BMI appear on the android application. Based on the results of the tests carried out, it is known that designing a measuring instrument with NodeMCU ESP8266 based on Android has been successfully carried out. The measuring instrument by implementing the Ultrasonic Sensor HC-SR04 as a height measurement can perform a success percentage of 96.95% and Loadcell Sensor as a weight measurement can perform the percentage of success is 98.97%, while in measuring Body Mass Index (BMI) can do a success percentage of 90.84%, the measuring instrument can also emit sound in the form of body condition in accordance with the measurement results obtained by the microcontroller with a success percentage of the sound output of 100% but has an average percentage of voice output delay variations of 2.1 seconds.
基于android平台Nodemcu ESP8266的身高、体重、体质指数监测系统设计
一般来说,身高和体重的测量是分开进行的,而且确定身体质量指数(Body Mass Index)必须通过人工计算,并不是每个人都能理解具体的公式,所以很难知道身体是否达到了正常的数值。本研究将提供建议的解决方案,以支持身体健康的测量设备和安卓应用,身高测量使用超声波传感器,体重测量使用称重传感器和NodeMCU ESP8266作为数据处理器。测量身高和体重的结果显示在LCD上,身体质量指数(BMI)的结果和推荐的解决方案显示在计算BMI的标准身体数字上。根据所进行的测试结果,我们已经成功地设计了一个基于Android的基于NodeMCU ESP8266的测量仪器。采用超声波传感器HC-SR04测量身高的成功率为96.95%,称重传感器测量体重的成功率为98.97%,而测量体重指数(BMI)的成功率为90.84%。测量仪还可以根据单片机测量结果发出身体状态的声音,声音输出成功率为100%,但语音输出延迟变化的平均百分比为2.1秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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