Caloric intake automatic measuring method and system based on spectrum analysis

Abstract

The embodiment of the invention discloses a caloric intake automatic measuring method and system based on spectrum analysis. The method includes the steps that dining actions are detected and recognized; if the dining actions with high similarity are detected, infrared rays are emitted, data is collected, a spectrum is formed, and a first calorie is obtained through calculation; when it is detected that the dining actions are stopped, a second calorie is obtained through calculation; intake caloric values are obtained according to the first calorie and the second calorie, and corresponding prompts are given according to the intake caloric values. By means of the method and system, the dining actions can be automatically detected, users are helped to count and accumulate the intake caloric values, and the use experience of the users is improved; the users can precisely know the food intake doses of themselves at any time for diet control, and the users are helped to more effectively perform diet control.

Description

technical field [0001] The invention relates to the technical field of calorie intake measurement, in particular to an automatic measurement method and system for calorie intake based on spectral analysis. Background technique [0002] Modern people pay more and more attention to diet and health, but the calorie intake measuring devices on the market have certain limitations, and it is difficult to meet the needs of users. There are two main types of measurement methods: [0003] Existing automatic diet evaluation devices based on image processing and recognition methods are based on image processing and recognition methods. The main design of the technology is a semi-automated measurement module that runs on a smartphone or other mobile device with a built-in camera to record the calorie intake of food. Calorie intake is calculated by measuring the volume of food and its nutritional content. [0004] The implementation process includes the following steps: collecting foo...

AI Technical Summary

Problems solved by technology

[0005] The main disadvantage of this type of technology is the measurement accuracy:

[0006] ① In the case of relatively complex and deep food coverage, it is very likely that other food components will be missed through image shooting, and the food depth cannot be accurately obtained

[0007] ②The identification of food types that are very similar in appearance is not accurate enough

For example, the appearance and color of milk and goat's milk are very similar, but the calorie measurement method based on the appearance makes the calculation results similar

[0008] ③Even if the type and volume of food can be accurately judged, the concentration of food, especially liquid food, cannot be judged, which will seriously affect the accuracy of data

[0010] The obvious problem with this type of equipment is its convenience: it must be identified manually, and cannot be automatically identified

The calorie intake should be the difference in food calories before and after eating, and the user must repeat the tedious operation of holding the scanner to scan the food before and after eating, which is not a good user experience

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