Product color emotional design method based on implicit measurement and BP neural network

To accurately obtain users' emotional image of product colors and effectively narrow the gap in emotional cognition between designers and users, the product color design of electric iron was used to be the research object, and implicit measurement technology and Back Propagation Neural Network (BPNN) were used to be the research methods to carry out research on the evolution mechanism of users' emotional cognition. Through the eye movement experiment, Electroencephalography (EEG) experiment and behavioral experiment, the eye movement indicators, EEG signals and emotional evaluation values of participants when faced with different color design schemes were extracted respectively. Combined with BPNN, a product color emotional image evaluation model based on the three-layer correlation structure of product color-physiological signal-emotional image was built. The experimental results showed that the proposed method could accurately obtain users' emotional cognition law of product color, and provide effective theoretical basis and data support for the research of product color emotional design. © 2023 CIMS. All rights reserved.