• Title/Summary/Keyword: 애슬레저 룩

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A Study on the Design Characteristics of Athleisure Look in Image-based SNS (이미지 기반 SNS에 나타난 애슬레저 룩의 디자인 특성 연구)

  • Kwon, Suehee;Park, Minjung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.45 no.1
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    • pp.17-27
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    • 2021
  • The pursuit of a healthier life has created life style changes through exercise; in addition, an athleisure look as well as a combination of everyday clothes and sportswear has rapidly spread through sharing based on image-based SNS. Fashion related images shown in an image-based SNS are considered important resources for grasping micro-needs with regard to the sensibility of consumers. Therefore, this study analyzes the design characteristics of an athleisure look shown in image-based SNS. In order to analyze the athleisure look, images of the entire garment were collected and classified to enable content analysis methods that analyzed the design characteristics of each type. As a result, types were classified as sporty-athleisure, modern-athleisure, high-end athleisure, retro-athleisure, and romantic-athleisure. Looking at the characteristics of the athleisure look, it was shown that the design characteristics of each type were well expressed through differences in the direction, material, and details by matching between the items used. This study can be used in design development processes by deriving the characteristics of athleisure looks through an analysis of fashion images that appear in image-based SNS.

Characteristics of the athleisure look in the Alexander Wang's collection (알렉산더 왕 컬렉션에 나타난 애슬레저 룩의 특성)

  • Park, Jung Hee;Lee, Younhee
    • The Research Journal of the Costume Culture
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    • v.25 no.6
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    • pp.862-879
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    • 2017
  • The purpose of this study is to analyze Alexander Wang's collections representing the athleisure look, and suggest a multilateral direction for fashion design based on the data. The present study examines literature, journals, and mass media to define the athleisure look and understand the background of its emergence, and assess its key design characteristics. The collections examined are from 2007 fall/winter to 2017 spring/summer, and T by Alexander Wang from 2011 spring/summer to 2016 fall/winter. A total of 446 photos were collected and verified by a group of experts. The characteristics of the athleisure look in Alexander Wang's collections were described by the following themes: dynamism (39.46%), unexpectedness (34.30%), sensuality (14.57%), and resistance (11.65%). Results revealed a number of findings: First, regarding the sensuality of the athleisure look found in Alexander Wang's collections, it was found to exhibit the lines of the human body and highlight sexiness and healthy beauty - with either direct or indirect body exposure. Second, the concept of dynamism is the most frequently seen - utilizing items with a comfortable or loose fit or materials that are flexible to enhance activity. Third, resistance appears as a specific style using aggressive and rough decorations. Alexander Wang's signature color, black, appears often, and showcases resistance through black clothing and fashion. Fourth, the unexpectedness of the athleisure look found in Alexander Wang's collections creates its own uniqueness with playful expressions made by various materials' mixed and matched or made visually fun.

The Analysis of Fashion Trend Cycle using Big Data (패션 트렌드의 주기적 순환성에 관한 빅데이터 융합 분석)

  • Kim, Ki-Hyun;Byun, Hae-Won
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.113-123
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    • 2020
  • In this paper, big data analysis was conducted for past and present fashion trends and fashion cycle. We focused on daily look for ordinary people instead of the fashion professionals and fashion show. Using the social matrix tool, Textom, we performed frequency analysis, N-gram analysis, network analysis and structural equivalence analysis on the big data containing fashion trends and cycles. The results are as follows. First, this study extracted the major key words related to fashion trends for the daily look from the past(1980s, 1990s) and the present(2019 and 2020). Second, the frequence analysis and N-gram analysis showed that the fashion cycle has shorten to 30-40 years. Third, the structural equivalence analysis found the four representative clusters. The past four clusters are jean, retro codi, athleisure look, celebrity retro and the present clusters are retro, newtro, lady chic, retro futurism. Fourth, through the network analysis and N-gram analysis, it turned out that the past fashion is reproduced and evolves to the current fashion with certain reasoning.