| Abstract:Objective Building a personalized customization system based on perceptual image-driven user participation, so as to increase the user’s experience of products design, finally, to realize the intelligent and personalized design. Method By researching the design custom pattern and personalization theory of the present three products, giving a architecture model of personalized system, through user participation model, perceptual intention mining, correlation method establishing a driving mechanism, in combination with BP neural network, Multi-objective particle swarm optimization, to build the intelligent design system and customization process for the products. In the end, an example verification was made with the personalized customization of humanoid cartoon stationery. Conclusion The personalized system for users enrich the consumer experience about designing products. It satisfies the customer’s requirement, we consider the design and product as most suitable for the intelligent age. |
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