In the links of apparel product development and production, apparel pattern design cannot reduce its marginal cost through economies of scale because of its creative characteristics. With the world entering the era of industry 4.0, machine learning can provide services for apparel design. This research takes the Chinese characteristic tachisme pattern as the research object and puts forward a new design method of regional characteristic apparel pattern driven by Generative Adversarial Networks (GAN). Firstly, the main framework based on GAN including discrimination and generation modules is established. Aiming at the training difficulties of regional characteristic apparel pattern sample situation with small quantity and disordered specification, the image self-amplification and normalization pre-processing module is added to the model. Secondly, by adding the Batch Normalization mechanism, Leaky ReLU and RMSProp algorithm, the problems of gradient disappearance and overfitting in the experiment are solved, and the convergence speed of the model is improved. Finally, the HSV colour model algorithm is introduced into the loss function to indicate the training process, so that the artistic expression characteristics of the generated results are closer to the human visual perception experience. Through index evaluation comparison, result authenticity investigation and product design practice, we prove the superiority and practicality of the proposed method in this paper. The new design method theoretically solves the scale economy dilemma of the previous apparel pattern design methods and provides reference ideas for more application scenarios currently trapped in the real-time presentation of design results.

随着区域民族纺织品全球化格局的形成,中国风格成为了全球纺织品流行趋势之一.中国传统纺织图案在世界范围的流行对其设计开发方法提出了更高要求.文章以书法纺织图案为研究对象,提出了基于深度学习生成对抗网络的传统纺织图案开发方法.该方法解决了传统开发方法技术壁垒高、效率低、可控性差、资源损耗大等问题,同时在深度学习层面解决了中国传统纺织图案样本少、规格杂、重意不重形等训练难点.经对比实验、主观评估与设计运用,该方法相较当前典型方法更适合应用于传统纺织图案的设计开发,具备先进性与实践价值.

With the improvement of consumers’ income and aesthetic level, consumers’ demand for products is more and more personalized and has certain artistic quality. Therefore, it is particularly important to understand consumers’ preferences for product attributes, especially for clothing patterns, and to overlap different product portfolios for different market segments. Taking the students of Jiangnan University as an example and taking the pattern attributes of Brocade as the research object, this paper proposes two aspects, male, subjective and objective, through eye-tracking experiment and questionnaire survey. Research method of Brocade pattern Preference of traditional handicraft of women with different personalities. The proposed method is expected to provide a practical test for quarterly pattern planning. While protecting the inheritance of the pattern art of the traditional handicraft Brocade, it also puts forward the standardization of the development direction of the product pattern to help enterprises accurately locate the consumer groups, meet the market demand to the maximum extent, and help enterprises achieve the strategic goal of sustainable development of economic benefits.

With the global homogenization of today’s costume design, a new design phenomenon is derived, that is, the globalization of regional ethnic traditional costume. Chinese traditional style has become one of the global fashion trends. In order to digitally inherit the traditional costume culture and innovate and upgrade the design process in the costume industry, this paper takes the traditional calligraphy costume patterns as the research object and proposes an innovative design method based on deep learning Generative Adversarial Network. This study analyzes the artistic characteristics and cultural genes of traditional calligraphic costume patterns, establishes a Generative Adversarial Network model containing discrimination and generation modules, and optimizes the design of the model for the characteristics of traditional costume patterns, such as small samples, multiple specifications, and emphasis on meaning rather than form. Through comparative experiment, subjective evaluation and design application, the advanced and practical value of the model are verified. This research aims to provide new ideas and methods for the inheritance and innovation of traditional culture in costume arts.

为优化远程医疗的可穿戴设备设计,提升下肢静脉曲张患者的康复体验,本文探讨了远程监护中对于患者的优化产品实施方案.本研究从用户需求出发,在远程监护服务体系构建中充分考虑需求因素,建立远程监护系统模型,提出针对下肢静脉曲张患者的远程监护服务设计模式,利用多学科交叉的设计方法,优化了现有的静脉曲张压力袜产品设计方案,并搭建了远程监护平台.本研究可为构建远程医疗和个性化医疗的服务体系提供参考,也为静脉曲张压力袜的个性化调节设计提供了借鉴.