With the continuous advancement of social civilization, the benign lifestyle advocated by the green concept has caused a new wave in the world. However, consumers' definition of children's wear design often conflicts with designers' ideas. In this study, a green children's wear design system is proposed. The researchers try to understand the emotional response of consumers to the design, and apply the results obtained from perceptual evaluation and analysis to the structural design of baby clothes. The system may be very important to support the green and people-oriented children's wear design process, and can realize effective communication between consumers and designers. In this study, through the implementation of perceptual engineering, consumers' perceptual images are analyzed at multiple levels to realize the green, practical, comfortable and safe design of baby clothes. In the research process, questionnaire survey and quantitative analysis are mainly used. The researchers classify the perceptual factors of children's wear into 18 clusters. Through the analysis of 145 valid questionnaires, the four perceptual factors that consumers are most interested in are "environmental protection, practicality, comfort and safety", and finally the corresponding baby clothing structure is designed. The system plays an important role in the design of green baby clothes, which enables designers to better design clothing styles that meet the market demand.
Alonso, J. M., Pancho, D. P. & Magdalena, L..Customization of Products Assisted by Kansei Engineering, Sensory Analysis and Soft Computing. In Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 616-625). Springer International Publishing.2014.
Chen Weiwei. Principles and applications of collaborative design for apparel based on perceptual matching. Suzhou: Soochow University, 2018.
Hasibuan C. F., Design Sling Bag Using Kansei Engineering Method IOP Conf. Series: Materials Science and Engineering 1003 (1) 012003.2020.
Janari D.&Rakmawati A.,Developing Baby Bag Design by Using Kansei Engineering Method IOP Conf. Series:
Materials Science and Engineering 105 (1) 012031.2016.
Rajasekera J.&Karunasena H.,Apparel Design Optimization for Global Market: Kansei Engineering Preference Model..International Journal of Affective Engineering,2015,14?2 ?:119-126.
Li Z.,Tian Z.G.,Wang J. W.&Wang W. M.,Extraction of affective responses from customer reviews: An opinion mining and machine learn- ing approach,Int. J. Comput. Integr. Manuf., vol. 33, no. 7, pp. 670–685, 2020, doi: 10.1080/0951192X.2019.1571240.
Lévy P.,Beyond Kansei Engineering: The Emancipation of Kansei Design.International Journal of Design,2013,7?2??83-94.
Mao T., Liu J.J.& Hao R. ,A study on the modelling technology of infant and toddler clothes for 0-3 years old. Shandong Textile Economy?2016?2??33-35?
Nagamachi M. Kansei engineering: "A new ergonomic consumer-oriented technology for product development". International Journal of Industrial Ergonomics 15. 3-11. 1995.
Schütte S. "Designing feelings into products: Integrating kansei engineering methodology in product development". Linköping, Sweden. Linköping Universitet. 2002.
Wang Y., Wang X.L.& Deng M.Y.,Research on the design of functional infant and toddler clothing based on sensual engineering. Textile Herald?2018?9??88-91.
Wang Q.J.& Liu J.W.,Research on the upscale feeling of silk garments based on sensual engineering. International Textile Herald?2011?6??48-52.
Wang Y.J.,Analysis of the influence of infant body characteristics on clothing design. Journal of Textile?2007?28?7??86-90.
Wu Y. ,Design analysis of functional clothing for infants and children . Knitting Industry?2017
?5??62-65.
Wu X.M.&Yuan Q.Y.,Research on the design and production of green children's clothing. Textile Report?2019?4??53-55.
Yan H.B.&Nakamori Y. , A probabilistic approach to Kansei profile generation in Kansei engineering,in Proc. IEEE Int. Conf. Syst., Man Cybern., pp. 776–782, doi:
10.1109/ICSMC.2010. 5641848.2010.
Ye H.,Research on the design of infant and toddler clothing in the ecological perspective. Clothing Technology?2017?3??32-33.
Zhong G., Zhang K. , We iH. , Zheng Y. &Dong J. ,Marginal deep architecture: Stacking feature learning modules to build deep learning models,IEEE Access,vol.7,pp.302230233,doi:10.1109/ ACCESS.2019.2902631.2019.
