Human body food intake evaluation system and method based on regression analysis

A technology of food intake and regression analysis, applied in neural learning methods, physical implementation, biological neural network models, etc., can solve the problems that users are difficult to keep record of diet for a long time, diet evaluation cannot achieve sufficient results, and records are not necessarily accurate, etc. , to achieve the effect of improving user experience, strong real-time and safety, and improving diet quality

Pending Publication Date: 2022-08-02
上海五里多科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But it is difficult for users to keep recording their diet for a long time
Due to artificial forgetting and misremembering, these records are not necessarily accurate, and cannot achieve sufficient results for dietary evaluation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human body food intake evaluation system and method based on regression analysis
  • Human body food intake evaluation system and method based on regression analysis
  • Human body food intake evaluation system and method based on regression analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The principles and features of the present invention will be described below with reference to the accompanying drawings.

[0029] like figure 1 As shown, it is a schematic structural diagram of a regression analysis-based human food intake evaluation system, including a dietary data acquisition sensor 100 , an FPGA sensor data processing platform 200 and a background server 300 . The diet data acquisition sensor 100 is used to collect the daily diet data information of the user; the diet data acquisition sensor and the FPGA sensor data processing platform are connected through various interface modules, and the data is sent to the FPGA sensor data processing platform 200 for processing; The FPGA sensing data processing platform 200 on the edge side establishes a communication connection with the backend server 300 in the cloud through a network cable, and sends the processed information to the backend server 300; the backend server 300 compares the dietary data of thes...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a human body food intake evaluation system and method based on regression analysis. The human body food intake evaluation system comprises a diet data acquisition sensor, an FPGA sensing data processing platform and a background server, the diet data acquisition sensor is used for acquiring daily diet data information of a user; the diet data acquisition sensor is connected with the FPGA sensing data processing platform through various interface modules, and data is sent to the FPGA sensing data processing platform for real-time processing; the FPGA sensing data processing platform is in communication connection with the background server through a network cable, and processed information is sent to the background server 300; and the back-end server compares the diet data of the user with a nutrient database to obtain detailed nutrient intake data of the user and scores the diet of the user. The system is high in intelligent degree, rich in function, low in cost, high in efficiency and high in real-time performance.

Description

technical field [0001] The present invention relates to the technical field of computer processing technology and medical diet evaluation, in particular to a system and method for measuring, analyzing and evaluating human food intake. Background technique [0002] With the development of social economy and the rapid changes in the lifestyle of residents, the incidence of chronic diseases such as overweight and obesity, hypertension, hyperlipidemia, coronary heart disease, stroke, diabetes, and malignant tumors has shown a significant upward trend. The main factor causing these diseases is unreasonable dietary patterns. Therefore, in order to help people avoid unreasonable dietary patterns, it is particularly important to collect residents' dietary data and give some targeted guidance. [0003] Often, people who want to understand their dietary health need to take a daily diet record and then consult a dietitian for dietary advice. However, the dietary questionnaire needs t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/60G06V20/68G06V10/82G06N3/063G06N3/04G06N3/08G06F17/18G06Q10/06G01G19/414
CPCG16H20/60G06V20/68G06V10/82G06N3/063G06N3/08G06F17/18G06Q10/06393G01G19/4146G06N3/045
Inventor 刘昱邸文华汪奇
Owner 上海五里多科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap