Body Mass Index Measurement System using Image Processing

Abdullah Sani, Elsa Agatya Marlin
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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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基于图像处理的身体质量指数测量系统
一般来说,要知道理想的体重,必须先称体重,然后手动测量身高。然后用一定的数学公式进行计算,得出理想体重的结论。然而,它的效率较低,特别是在批量应用时。因此,作者将使用webcam实时创建一个带有Image Processing应用程序的系统,通过指定特定距离和比例的身体高度和宽度,应用计算像素值的值,其中像素值作为参考作为变量函数,获得人的身高和体重估计。然后在获得身高和体重后,用布洛卡公式计算身体质量指数,作为一种有效测量人体身体质量指数的识别系统。该系统可以作为一个系统,可以要求人类更有效的时间和减少人为错误。该系统输出的是人体的高值、体重和BMI值,无论状态是否理想。
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