Product preference image recognition system and method under visual cognition neural mechanism

A recognition method and image technology, applied in medical science, psychological devices, sensors, etc., can solve problems such as ambiguity, difficulty in identifying the user's mental state, incompleteness, etc., and achieve the effect of scientific recognition methods

Inactive Publication Date: 2019-04-05
GUIZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Methods such as the semantic difference method are extremely flexible and easy to conceive, but because the subject’s expression of image prefere...

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  • Product preference image recognition system and method under visual cognition neural mechanism
  • Product preference image recognition system and method under visual cognition neural mechanism
  • Product preference image recognition system and method under visual cognition neural mechanism

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Embodiment 1

[0027] Embodiment 1: as Figure 1-5 As shown, a product preference image recognition system under the neural mechanism of visual cognition, including telemetry eye tracker, computer B, computer A, computer C and EEG, the telemetry eye tracker and EEG are respectively connected to Computer B and computer C, computer B and computer C are respectively connected to computer A, computer A is used to store the viewing stimulus materials of the tested product and analyze the collected materials, and the telemetry eye tracker and EEG are used to collect eye movements respectively Data and collection of EEG data.

[0028] A recognition method for a product preference image recognition system under a visual cognitive neural mechanism, the method comprising the following steps:

[0029] (1) importing product sample pictures and image vocabulary that meet user preferences as stimulus materials into the picture viewing module of computer A, and the picture viewing module displays product ...

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Abstract

The invention discloses a product preference image recognition system and method of under a visual cognition neural mechanism. The product preference image recognition system comprises a remote measuring type eye tracker, a computer B, a computer A, a computer C and an electroencephalograph, wherein the remote measuring type eye tracker and the electroencephalograph are connected to the computer Band the computer C respectively; the computer B and the computer C are connected to the computer A respectively; the computer A is used for storing an observation stimulation material of a product tobe detected and analyzing a collected material; the remote measuring type eye tracker and the electroencephalograph are used for collecting eye movement data and collecting electroencephalographic data respectively. According to the product preference image recognition system and method, disclosed by the invention, comprehensive analysis and match of the eye movement data and the electroencephalographic data can be carried out, a product preference image recognition is realized and the recognition method is more scientific and more accurate.

Description

technical field [0001] The invention relates to a product preference image recognition system and method under a visual cognition neural mechanism, and belongs to the technical field of preference image recognition. Background technique [0002] The image presented by the appearance of the product in the human brain is the most direct feeling of the product, and it can express people's values ​​and preferences for the contemporary environment. An image can be identified because it is presented in a form that reflects certain characteristics expressing aspects of cultural and social context, etc. The user's image expression of the product reflects the user's perceptual preference for the product. Understanding consumers' image preferences is the key for companies to manufacture products that meet users' psychological expectations and promote consumption, and to assist designers to improve their design capabilities. In the existing product image research, psychometric method...

Claims

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Application Information

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IPC IPC(8): A61B5/16
CPCA61B5/16A61B5/7235A61B5/163
Inventor 林丽陈洋
Owner GUIZHOU UNIV
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