Abstract
The arrival of the experience economy tide has claimed the decision-making power of the garment industry shifted from the enterprise to the consumer. Enhancing the shopping experience is an essential part of attracting customers. Traditional clothing store design needs to be updated with cutting-edge technology. This paper presents a virtual fitting and evaluation system in virtual reality environment. Based on digital human body model data acquisition technology, three-dimensional human body visualization modeling for garment design process is carried out. The CLO3D technology is used to realize the three-dimensional design and virtual performance of clothing. Aiming at the cognitive differences between designers and consumers in fashion design, an explorative research was done based on the consumers’ perceptual cognition of clothing, which suggested an evaluation method for clothing based on perceptual image and established a perceptual cognition matching model between customers and designers. With the methods of expert interviews, questionnaires, focus groups, card classification, four evaluation dimensions of clothing design were extracted: overall style, appearance style, color&fabric, pressure perception and 11 corresponding evaluation factors. Taking business men’s wear as an example, an evaluation factor knowledge base and a general computer-aided clothing design emotional image evaluation system are constructed. Based on this system, consumers can get a new experience of immersive virtual fitting, and designers can quickly get consumers’ evaluation of clothing design to improve efficiency of clothing design.
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References
Gabrielli, V., Baghi, I., Codeluppi, V.: Consumption practices of fast fashion products: a consumer-based approach. J. Fashion Mark. Manage. Int. J. 17(2), 206–224 (2013)
Idesawa, M., Yatagai, T., Soma, T.: Scanning moiré method and automatic measurement of 3-D shapes. J. Appl. Opt. 16(8), 2152–2162 (1977)
Xiang, L.L., Li, Y.T.: 3D anthropometric measurement technology in garment mass customization. J. Adv. Text. Technol. 15(4), 46–49 (2007)
Apeagyei, P.R.: Application of 3D body scanning technology to human measurement for clothing fit. J. Int. J. Digital Content Technol. Appl. 4(7), 58–68 (2010)
Peng, S.C., Xun, X.M., Liu, G.H.: Survey on 3D human body auto-measurement technology. J. Appl. Res. Comput. 22(4), 1–4 (2005)
Jin, G.Y., Luo, R.L.: Research on the technical framework of virtual fitting system. J. Silk 4, 38–41 (2007)
Kytö, M., Nuutinen, M., Oittinen, P.: Method for measuring stereo camera depth accuracy based on stereoscopic vision. In: Three-Dimensional Imaging, Interaction, and Measurement, vol. 7864, p. 78640I. International Society for Optics and Photonics (2011)
Huang, C.Y.: Analysis on technology framework of 3D virtual fitting based on network. J. Appl. Mech. Mater. 543, 2961–2964 (2014)
Zhou, C.S., Shi, Z.: Design height measurement system based on the depth image. J. Guilin Univ. Electron. Technol. 33(3), 214–217 (2013)
Pachoulakis, I., Kapetanakis, K.: Augmented reality platforms for virtual fitting rooms. Int. J. Multimedia Appl. 4(4), 35 (2012)
Yang, Y.: Study on Digital Human Mannequin Based on Web Service. Xi’an Polytechnic University, Xi’an (2013)
Ma, Y.: Design and Implementation of Interactive Virtual Garment Community. Beijing Institute of Fashion Technology, Beijing (2015)
Nagamachi, M.: Kansei engineering as a powerful consumer-oriented technology for product development. J. Appl. Ergon. 33(3), 289–294 (2002)
Luo, S.J., Zhu, S.S., Ying, F.T., Zhang, J.S.: Progress of research on users’ tacit knowledge in product design. J. Comput. Integr. Manuf. Syst. 16(4), 673–688 (2010)
Mitsuo, N.: Kansei engineering: a new ergonomic consumer-oriented technology for product development. Int. J. Ind. Ergon. 15(1), 3–11 (1995)
Zhou, X.X.: The Method of Yarn-dyed Fabric Aesthetic Evaluation Based on Kansei Engineering. Jiangnan University, Wuxi (2016)
Mu, S.H., Cao, W.Q.: Virtual fashion design with CLO3D. J. Electron. Sci. Technol. 02(03), 366–371 (2015)
Kennedy, K.: Pattern Construction. Garment Manufacturing Technology, Woodhead Publishing, pp. 205–220 (2015)
Hidellaarachchi, D., Gunatilake, H., Perera, S., et al.: Towards a virtual garment fitting model for male upper body for online marketplace. In: 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer), pp. 322–331. IEEE (2018)
Chen, C.F., Yeh, C.H., Lin, Y.C.: A kansei engineering approach to eco-product form design. In: Proceedings of IASDR09 (2009)
Lu, H.: Research and Application of Knowledge Base for Clothing Sensory Design. Suzhou University, Suzhou (2010)
Chen, C.H., Khoo, L.P., Yan, W.: An investigation into affective design using sorting technique and Kohonen self-organizing map. J. Adv. Eng. Softw. 37(5), 334–349 (2006)
Fu, Y.T., Luo, S.J., Zhou, Y.X.: Evaluation of cartoon figure form based on perceptual image. J. Zhejiang Univ. (Eng. Sci.) 45(9), 1544–1552 (2011)
Chen, K., Chiu, S., Lin, F.: Kansei design with cross cultural perspectives. In: International Conference on Usability and Internationalization, pp 47–56. Springer, Heidelberg (2007)
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This research was supported by the National Natural Science Foundation of China (No. 51675476 and No. 51175458).
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Zhang, Y., Luo, S., Cui, Z., Bian, Z., Shan, P. (2020). Virtual Performance and Evaluation System of Garment Design Based on Kansei Engineering. 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_44
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DOI: https://doi.org/10.1007/978-3-030-20441-9_44
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