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Body fat evaluation system and method based on deep learning technology

A deep learning and evaluation system technology, applied in the field of body fat evaluation system based on deep learning technology, can solve problems such as large errors

Inactive Publication Date: 2019-07-26
四川创客知佳科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, a variety of smart body fat scales are very popular, but these scales are basically estimated based on the measurement of skin resistance by BIA bioelectrical resistance measurement method, because the dryness and temperature of the skin vary from person to person and from time to time , so the error is large

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  • Body fat evaluation system and method based on deep learning technology

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Embodiment Construction

[0021] The present invention will be further described below in conjunction with accompanying drawing:

[0022] combine figure 1 As shown, the body fat evaluation system based on deep learning technology of the present invention includes a cloud experience database 2, a client terminal 3 and an intelligent body fat scale 4 with skin temperature and humidity measurement functions, a cloud experience database 2 and a client terminal 3 A data interaction channel is established between the client terminal 3 and the intelligent body fat scale 4, and the experience data is recorded in the cloud experience database 2, and the experience data is classified according to the gender, age, body type and race of the person. And includes body fat percentage, muscle percentage, protein content, bone mass, water content and anatomical data;

[0023] The cloud experience database 2 has a deep learning function, which can continuously collect new data different from the original experience dat...

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Abstract

The invention discloses a body fat evaluation system and method based on a deep learning technology. The system can assess human body fat rate, muscle rate, protein content, bone mass and moisture content realistically according to a human body stereo dynamic image in combination with a measurement result of an intelligent body fat scale and a cloud experience database containing a large amount ofempirical data, wherein the cloud experience database has a deep learning function, and can always ensure that internal empirical data is the most accurate data.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence visual recognition, and in particular relates to a body fat evaluation system and method based on deep learning technology. Background technique [0002] At present, a variety of smart body fat scales are very popular, but these scales are basically estimated based on the measurement of skin resistance by BIA bioelectrical resistance measurement method, because the dryness and temperature of the skin vary from person to person and from time to time , so the error is large. Contents of the invention [0003] The purpose of the present invention is to provide a body fat evaluation system and method based on deep learning technology in order to solve the above problems, which can make a more consistent evaluation of human body fat percentage, muscle percentage, protein content, bone mass and moisture. practical assessment. [0004] The present invention achieves the above object t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/053
CPCA61B5/0059A61B5/0537A61B5/4872A61B5/7267
Inventor 章航
Owner 四川创客知佳科技有限公司
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