A product image recognition method based on EEG signal and fuzzy inference

A technology of EEG signal and fuzzy reasoning, applied in the field of recognition

Inactive Publication Date: 2019-01-25
ZHEJIANG UNIV CITY COLLEGE
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Problems solved by technology

Due to the subjectivity of the product image itself, it is difficult to accurately establish...

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  • A product image recognition method based on EEG signal and fuzzy inference
  • A product image recognition method based on EEG signal and fuzzy inference
  • A product image recognition method based on EEG signal and fuzzy inference

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the examples. The description of the following examples is provided only to aid the understanding of the present invention. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

[0026] The described product image recognition method based on EEG signal and fuzzy reasoning comprises the following steps:

[0027] 1) Establish the dimensions of product image evaluation (build a multi-dimensional product image space).

[0028] In order to comprehensively collect perceptual image vocabulary describing product appearance style images, a large number of relevant research literature and product introductions have been investigated, and rich perce...

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Abstract

The invention relates to a product image recognition method based on EEG signal and fuzzy inference. The method comprises the following steps: 1) image evaluation is carried out on the product image which needs to be recognized by using EEG signal acquisition device; 2) the classification number of perceptual image vocabulary pair is set, and the image words of the pictures are judged; 3) according to the image reasoning model, the required behavior and EEG data are statistically analyzed; 4) that fuzzy matrix is substituted into the calculation to carry on the comprehensive evaluation. The invention has the beneficial effects that: the invention starts from the neural processing mechanism, searches for the mapping relationship between the image and the EEG, reasoning the product image byusing the EEG experiment combined with fuzzy evaluation, and constructs a new product image quantitative reasoning method; The product image reasoning model based on EEG can directly calculate the semantic value of the subjective image of the product samples through the objective data (the selection rate of the subjects, reaction time and N400 amplitude) rather than subjective evaluation, which can provide methodological support for the future systematic image acquisition.

Description

technical field [0001] The invention relates to a recognition method, in particular to a product image recognition method based on electroencephalogram signals and fuzzy reasoning. Background technique [0002] While satisfying the general use function of the product, customers are increasingly emphasizing the emotional value and aesthetic image of the product. How to design products that meet consumers' psychological expectations is the core element to enhance the competitiveness of commodities, and it is also the content that enterprises pay attention to. Through its own color, texture, structure and cultural significance, the product forms the language and imagery it wants to convey. Product image cognition is an information processing process, mainly relying on the user's observation of objects, after comparing with personal experience and psychological structure, and then making an image judgment after reasoning and thinking. Due to the subjectivity of human cognition...

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Application Information

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IPC IPC(8): G06K9/00G06F3/01G06N5/04
CPCG06F3/015G06N5/048G06F2218/12
Inventor 杨程陈辰
Owner ZHEJIANG UNIV CITY COLLEGE
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