• The Research Journal of the Costume Culture
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• v.11 no.4
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• pp.525-540
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• 2003

This survey paper aims to compare two significant figures in the history of Haute Couture e.g, Paul Poiret and Coco Chanel, who played a leading role between 1910 and 1930. It is found here that they have common features with respect to giving freedom to body through costume, enlarging Garconne Mode, creating more value of Costume Jewelry, exploiting advertisement strategy using models, proving exotic styles, and last but not the least contributing to Haute Couture. The research shows, however, that Poiret differs from Chanel in that he made most of various natural colors whereas Chanel used black or beige colors that had been rarely used woman wear previously. They also differed in using fabric, permitting copy by others, ingredients and bottling of perfume, meaning of silhouette. This kind of comparative research is expected to provide more understanding of fashion history and to contribute to more rigorous analysis of key success factors of designers in his or her age of fashion.

• Journal of Fashion Business
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• v.1 no.3
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• pp.45-59
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• 1997

This study, on the military fashion which has been inspired by the men's military uniform, is composed of an examination of the following; the aspect on the women's hi-fashion and the street fashion and the analysis of it's intention. On hi-fashion, from the 1960s to the early half of the 1970s, by the influence of the minimalism, maintained it's couture style, which is the formal image as well as moderating the line and simplifying the details, From the latter part of the 1970s to the 1980s, mannish image was sensed greatly by the wide shoulders with pads and large silhouette. The 1990's theme was the retro. Many different expression techniques appeared, but the trend was the retro. However, on the streets, young generation and hippies wore unisex army mode because of the influence of anti-war movement. Also, Hell's Angels, punks used black leather jacket with Nazi symbol, badge and eyelet expressed to show their aggressiveness as an avantgarde fashion. The intentions of military fashion can be analyzed as women's amazon need, the feeling of movement, and the spirit of rebellion.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.9
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• pp.1000-1013
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• 2012

This study analyzes public images, role types, and fashion images of Korean First Ladies in modern times to find a correlation of a standard through an analysis of literature reviews. The conclusion of the study is as follows. First, in terms of official functions in formal situations, First Ladies represent a type of customary presidential protocol and offer appealing neat images through a moderate style and simple mode. In other situations, such as non-formal times, they show duty-based roles in regards to the lady of the house as well as the companion of the president that are represent soft and comfortable images through a feminine style and graceful mode. Second, it reflects their tastes and images in the silhouette and colors of Western style clothing through the personal roles and activities of the First Lady. Third, the Korean First Ladies tend to prefer the feminine image of housewife-based assistant that shows that they prefer clothes with a regular repetition and stabilized pattern such as dots and checkered patterns. Fourth, as compared to a previous period, they create a style for bright images and dainty feelings that use a variety of colors and light fabrics that represent many aspects of political assistance with active support.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.5
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• pp.611-626
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• 2014

Reading and foreseeing fashion trends is crucial and difficult in the fashion industry due to accelerated and diversified changes in fashion trends. We use network analysis to investigate fashion trends from 2004 to 2013 in order to find the inter-relevance among fashion trends. We extracted words from fashion trend info for women's wear provided by Samsung Design Net, created a 2-mode network of seasons and trend languages, and visualized this network using NodeXl program. Fashion trends repeated a unique pattern during the period. In the first half (2004-2008), retro modern, feminine modern, and ecological modern were dominant trends in consecutive order. The years 2009-2013 witnessed distinctive fashion trends in S/S seasons and in F/W seasons. 11F/W, 12F/W and 13F/W seasons were characterized by artistic creative style. From 2010, natural style dominated S/S seasons. 10S/S and 12S/S seasons were distinguished as a calm natural style that reflected a peaceful and simple life. In 11S/S and 13S/S seasons, soft natural style emerged as a sign of increased importance of inner spirit and natural energy. A seasonal reappearance of trends was observed every two years in S/S seasons that enabled the prediction that 14S/S will see another version of natural style. A macroscopic trend for the last 10 years was represented by the keywords 'modern' and 'natural'. 'Modern' involved the past styles such as 60's, Baroque and the origin of human life. 'Natural' was connected with design elements such as material, silhouette and color. Managerial implications and future study directions are discussed based on the results.

• Journal of Satellite, Information and Communications
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• v.9 no.1
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• pp.57-64
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• 2014

Recently, many human-friendly communication methods have been studied for human-machine interface(HMI) without using any physical devices. One of them is the vision-based gesture recognition that this paper deals with. In this paper, we define some gestures for interaction with objects in a predefined virtual world, and propose an efficient method to recognize them. For preprocessing, we detect and track the both hands, and extract their silhouettes from the low-resolution hand images captured by a webcam. We modeled skin color by two Gaussian distributions in RGB color space and use blob-matching method to detect and track the hands. Applying the foodfill algorithm we extracted hand silhouettes and recognize the hand shapes of Thumb-Up, Palm and Cross by detecting and analyzing their modes. Then, with analyzing the context of hand movement, we recognized five predefined one-hand or both-hand gestures. Assuming that one main user shows up for accurate hand detection, the proposed gesture recognition method has been proved its efficiency and accuracy in many real-time demos.