Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Flavor identification method based on smell-taste associated perception model

A technology of perception model and recognition method, applied in the direction of biological neural network model, food test, complex mathematical operation, etc., can solve the research of perception ability without smell-taste synaesthesia transmission mechanism, without considering the phenomenon of mixed sense of smell and taste, Unable to achieve high bionics and other issues

Pending Publication Date: 2020-11-17
NORTHEAST DIANLI UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are papers and patents respectively proposing smell and taste perception models, but the sensory experience and sensory evaluation of food is usually a mixed sensory phenomenon after the synergy of human taste and smell. These two models start from the perspective of a single sensory channel and do not take into account the sense of smell Sensory mixing between taste and taste
[0003] The above research on the transmission mechanism of smell-taste synaesthesia is mainly the research results obtained from physiological experiments or a single smell / taste system, but there is no research on the overall smell-taste synaesthesia transmission mechanism and its perception ability, and it is impossible to achieve a high degree of bionics

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
  • Flavor identification method based on smell-taste associated perception model
  • Flavor identification method based on smell-taste associated perception model
  • Flavor identification method based on smell-taste associated perception model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0095] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0096] refer to Figure 1 to Figure 12 , a flavor recognition method based on the smell-taste synesthesia perception model, comprising the following steps:

[0097] S1: Establish a description model of the topological structure and dynamic characteristics of the solitary tract nucleus module in the smell-taste synesthesia perception model;

[0098] S2: Establish a description model of the topological structure and dynamic characteristics of the ventroposteromedial nucleus module in the smell-taste synaesthesia perception model;

[0099]S3: Establish a description model of the topological structur...

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 flavor recognition method based on a smell and taste association perception model, and relates to the technical field of flavor recognition methods, and the method comprisesthe steps: building the smell and taste association perception model, inputting flavor information, obtained by a smell and taste sensor, of different samples into the smell and taste association perception model, and extracting the characteristics of the smell and taste association perception model under the input flavor information through a wavelet packet transformation method, and inputting the characteristics into the GSSVM model to realize qualitative classification of different samples. The construction of the smell-taste associated perception model is based on a smell-taste associatednerve conduction path of a human body, and comprises the steps of constructing a smell-taste associated isolated bundle nuclear module, constructing a smell-taste associated thalamus posterior medialnuclear module and constructing a smell-taste associated structure module. According to the flavor identification method, qualitative analysis can be carried out on different flavor information more accurately.

Description

technical field [0001] The invention relates to the technical field of flavor recognition methods, in particular to a flavor recognition method based on an smell-taste synesthesia perception model. Background technique [0002] At present, researches on the mechanism of olfactory-taste nerve transmission are mostly related to human sensory tests. Relevant scholars have explored the olfactory-taste connection in the central nervous system of the cerebral cortex through physiological anatomy, electrophysiological experiments, electromagnetic imaging technology, and brain imaging technology. sensory mechanism, some literature reveals that exposure to the smell of food in the air will have a significant impact on the appetite of the subjects, and things that make people feel pleasant will increase the hunger of the subjects and increase appetite; some literature points out that food is Olfactory stimuli make a greater contribution to the overall taste experience. Most of the foo...

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): G06N3/063G06F17/13G01N33/02
CPCG06F17/13G01N33/02G06N3/065
Inventor 门洪郑文博石岩英宇翔刘晶晶
Owner NORTHEAST DIANLI UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products