Abstract
After realizing the basic functions of the products, enough attention could also be paid to customers’ individualized demands. In order to match the facial features of consumers and meet their individual needs for glasses, this paper proposes an intelligent recommendation system based on glasses design. The recommendation system proposed in this paper develops the design assistance system architecture from three aspects: face features, glasses features and kansei engineering. It probably achieves the purpose of recommending products with high availability and satisfaction to customers. This research mainly includes three aspects: First, extract facial features, glasses features and Kansei evaluation words, then design Likert scale. Second, construct the theory of quantification perceptual mapping model design. Third, build the glasses recommendation system.
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Acknowledgments
This paper is supported by Science and Technology on Avionics Integration Laboratory and Aeronautical Science Fund (No. 20165569019), Natural Science fund of Jiangsu Province (No. BK20150636).
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Zhao, Z., Zhou, L., Zhang, T. (2020). Intelligent Recommendation System for Eyeglass Design. In: Fukuda, S. (eds) Advances in Affective and Pleasurable Design. AHFE 2019. Advances in Intelligent Systems and Computing, vol 952. Springer, Cham. https://doi.org/10.1007/978-3-030-20441-9_42
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DOI: https://doi.org/10.1007/978-3-030-20441-9_42
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