Study of Electroencephalography Cognitive Model of Product Image

doi:10.3901/JME.2018.23.126

Abstract

Abstract: Based on the EEG experiment, the user's perceptual judgment of the product is quantified. The corresponding relationship between the user's EEG information and the product image in the cognitive process is constructed, and the corresponding image reasoning model is established. The product image is described by multiple groups of perceptual image adjectives. Based on the behavior data, EEG and event related potential of the subjects, the decision behavior of the subjects during the image cognition is analyzed. With different images matching conditions, the amplitude and distribution of ERP components are studied to determine the mapping relationship between EEG information and product image. Based on the evaluation factors such as time length, selection rate and EEG signal, the product image reasoning model is constructed. It is proved that the results of the reasoning model and the image semantic evaluation are consistent and have good reliability.

Key words: EEG, event-related potential (ERP), fuzzy logic, image inference model, product image semantics

CLC Number:

TP391

YANG Cheng, CHEN Chen, TANG Zhichuan. Study of Electroencephalography Cognitive Model of Product Image[J]. Journal of Mechanical Engineering, 2018, 54(23): 126-136.

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