Where is the "intelligence" of intelligent electronic scales?

In this era when the Internet changes everything, all household appliances and electronic products tend to be intelligent. The word intelligence seems to make some ordinary things in daily life special, and intelligent electronic scales are popular products at present. So, what's the difference between it and ordinary electronic scales?

In measuring weight, the basic principle of intelligent electronic scale is the same as that of ordinary electronic scale. When you put the weighed object on the weighing surface, the pressure brought by the object will be transferred to the varistor under the weighing surface, making it deformed. When this resistor is mechanically deformed, its impedance will change. If we apply a certain excitation voltage across it, we will get an analog signal proportional to its deformation. The signal is amplified by an amplifier circuit and output to an analog-to-digital converter. It is converted into a digital signal that is easy to process and output to the CPU operation control of the electronic scale. The CPU outputs the results to the display screen of the electronic scale according to keyboard commands and programs until the results are displayed.

Compared with ordinary electronic scales, intelligent electronic scales can measure people's body fat rate, basal metabolic rate, estimated bone mass, muscle mass and other health data besides weighing. There are two metal contacts on its weighing surface, and people's feet are placed on them respectively when weighing. At this time, there will be a specific frequency of electrical signals through the human body. Because muscle contains more water such as blood, it can conduct electricity, but fat can't. Therefore, by measuring the resistance between the two feet and using a specific scientific formula, we can accurately measure the body composition indicators such as the percentage of fat, muscle and bone weight. In fact, these indicators are comprehensively calculated by using various data. For example, fat content needs four auxiliary data: weight, gender, age and height, in which weight can be measured, while gender, age and height need to be input by users themselves.

When you get these indicators of the user's physical condition, you can upload these data to the cloud for analysis and draw its K-line diagram. Then, according to the scientific health standards of medical data, some analysis reports of physical health status are given, such as the evaluation of various components in the body and whether the indicators meet the standards. Then, these results are fed back to the users, and suitable exercise programs are recommended for them, and suggestions on diet and food intake are given. This is the meaning of the word "intelligence" through quantitative analysis of the data of people's physical condition and then giving targeted health improvement suggestions.