| Abstract: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 products customization.By researching and analysing 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 research methods of Kansei engineering, BP neural network and Multi-objective particle swarm optimization, to build the intelligent design system and customization process for the products, realized the product shape customization in multi-drive image. In the end, an example verification was made with the personalized customization of humanoid cartoon stationery. The personalized system for users enrich the consumer experience about designing products,it meets the increasingly urgent individual design needs of consumerst, we consider the design and product as most suitable for the intelligent age. |
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