• Journal of Digital Convergence
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• v.10 no.10
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• pp.261-275
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• 2012

An increasing number of mountaineers are recently creating diverse consumer needs for mountaineering garments, thereby leading to a production of smart mountaineering garments with diverse-functions. Smart mountaineering garments are increasingly adding to comfort and safety, boosting their market size. This study researched on the Technology Acceptance Model (TAM) to examine factors that influence the intention of consumers to purchase buy mountaineering garments. For that purpose, 641 people aged 20-61 years who experienced in mountaineering were surveyed online. An extended TAM was designed by adding new variables such as fashion involvement and garment involvement associated with the characteristics of clothing products to the variables such as self-efficacy sense, technological innovativeness, perceived enjoyment. The findings of the study suggested that self-efficacy sense influenced perceived usefulness, perceived easiness of use, and perceived enjoyment, while garment involvement and fashion involvement influenced the perceived easiness of use and the perceived usefulness, respectively. Also, the perceived easiness of use influenced perceived usefulness and perceived enjoyment, while the perceived usefulness and perceived enjoyment directly influenced the intention of purchase. Based on the findings of this research, this study seeks to determine factors variables of smart garments purchase intention, and to explore measures to enhance such purchase intention, thereby offering working implications for developing smart mountaineering garments.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.1-11
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• 2020

Image-based virtual try-on (VTON) is becoming popular for online apparel shopping, mainly because of not requiring 3D information for try-on clothes and target humans. However, existing 2D algorithms, even when utilizing advanced non-rigid deformation algorithms, cannot handle large spatial transformations for complex target human poses. In this study, we propose a 3D clothing reconstruction method using a 3D human body model. The resulting 3D models of try-on clothes can be more easily deformed when applied to rest posed standard human models. Then, the poses and shapes of 3D clothing models can be transferred to the target human models estimated from 2D images. Finally, the deformed clothing models can be rendered and blended with target human representations. Experimental results with the VITON dataset used in the previous works show that the shapes of reconstructed clothing are significantly more natural, compared to the 2D image-based deformation results when human poses and shapes are estimated accurately.

• Fashion & Textile Research Journal
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• v.18 no.2
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• pp.216-224
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• 2016

Recently, the interest in a garment that accentuates a fit and slender body continues to be highly desirable. Customers frequently want to wear a slim designed jacket that fits well, reflecting the trends of being young and slim. Accordingly, this research collected information on brands with ready-to-wear slim fit tailored jackets that target female customers in their 30s. By identifying the jacket pattern design and production state by brand, and evaluating the appearance when wearing the jacket, I was able to draw up the following conclusions. First, the fit highlights many problems because of the difference between the model size of brands that targeted domestic women in their 30s and the standard somatotype of them. This can be solved by considering the somatotype of women in their 30s when choosing the models. Second, the relative simplicity of the pattern should allow a slim fit tailored jacket to be produced that fits the front, back and side well. This would lead to the development of a jacket that would fit better as well as allowing for ease of movement. Similar to this, the model size of domestic brands changes frequently and customers prefer the size of a slim model instead of the size suitable for a target's somatotype. This results in a limit on the levels of satisfaction regarding brand targets for body types. Accordingly, it is hoped that this research will become the standard data for the development of a slim fit tailored jacket that will fit women in their 30s well.

• Fashion & Textile Research Journal
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• v.23 no.2
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• pp.247-260
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• 2021

While it is an important element of clothing construction, research has so far been very limited on the similarities between virtual and real clothing in terms of the type of neckline. The purpose of this study is to verify the similarity, accuracy of virtualization, and actuality of neckline, which all play an important role in individual impressions and image formation, and require considerable modification when fitting real samples. A total of 5 neckline models were selected through the analysis of dress composition textbooks. The selected designs were then planned and manufactured in muslin. The specimen clothes were then tested on a female model in her 20s. 2 kinds of virtual bodies were created in order to compare the real and the virtual dressing. The first virtual body was made through an Artec 3D Eva scan of the model, and the other was made by entering the model's measurements in a CLO 3D program. A visual image of the front, side, and back image of both the real and virtual dressing were subsequently collected. The collected images were then evaluated by 20 professional fashion workers who checked the similarity between the real and the virtual versions. The current study found that the similarity between the actual and virtual wearing of the five neckline designs with reality appeared higher with the virtual wearing image using the 3D-scanned body. The results of this study could provide further information on the selection of appropriate avatars to clothing companies that check the fit of clothing by utilizing 3D virtualized programs.

• Korean Journal of Human Ecology
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• v.21 no.1
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• pp.129-140
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• 2012

The purpose of this study was to examine the Korean research trends of Chinese fashion market for clothing construction and merchandising. The data for this study consists of 118 researches published in six Korean journals from 1998 to 2010. The results were as follows: 1) For clothing construction, the most studied topic was body type, and for merchandising, individual characteristics were mostly researched. 2) There were a large number of researches by multiple authors. 3) For clothing construction, they tended to be studied by the experimentation model and for merchandising, the questionnaire and survey were mostly used in researches. 4) Most researches used descriptive statistical methods for analysis. 5) And the data were mostly gathered from Chinese women. These findings provide significant insights into current trends and further studies in Chinese market.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.5
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• pp.769-782
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• 1996

This study intends to contribute to developing an effective marketing strategy targeting women in their 40's and 50's by classifying them into social classes and analyzing their wearing and purchasing behavior. The subject of this study are 344 women in their 40's and 50's living in Seoul, and the model sampling is done by allotment sampling. Modified survey based on references and former studies is used, and SAS package is used for analysis. The results of data analysis are as follows: 1. Women in their 40's and 50's are classified into 3 social classes, and the most influencial factor in the classification of social class is found to be total monthly income. 2 Clothing image of which each social class wear are proven to be significantly different among 3 classes. However, specific garment styles they wear are proven not to be significantly different. 3. Clothing purchasing behavior factors such as informants, clothing selection standards, store selection standards, place of purchase, shopping time, frequency of purchase, price of purchase, and paying methods are proven to be significantly different among 3 social classes. 4. Marketing strategies for each social class are provided based on these results.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.11
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• pp.1627-1637
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• 2002

The objective of this study is to analyze the images of basic bodice apparel displayed on the PC monitor connected to digital camera, and to suggest a more efficient alternative method that enables the expert judge to evaluate the subject both traditional method and displayed images on the computer. Appearance evaluation has traditionally been assessed using subjective method dependent upon expertjudges' senses with the naked eye after direct observation of a living model. This research faces the new challenge focusing on the sensory evaluation of appearance for basic apparel patterns, which can overcome the space and time limitations of the traditional feet methods. A total fifteen basic bodice garment (3 types of $pattern\;{\times}\;5$ subject) were constructed with same fabrics. The appearance evaluation items consist of lg questions of upper torso. The image takes font, back and side view of the dressed subject with three different situations. Data was analyzed using percentiles, standard deviation T-test and ANOVA. Taken together, the present result of appearance evaluation through digital camera image shows that there is a significant difference ($p{\leq}.001$) in the response to the placement of the neckline, the waist & shoulder dart, the general ease of the bust & waist area, the side seam, the perpendicular of the waist hem and general acceptability between the above three different situations; the image in the condition of greenish yellow background with front light showed the highest score through all questions. These results depend on the kind of background colors with the light.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.101-111
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• 2021

This study investigates the impact of heuristic factors on customers' perception of information credibility of influencers on YouTube channels, and the association between customers' perception of information credibility and brand attitude, brand credibility, and purchase intention of cosmetic products in Vietnam. A quantitative approach is employed, with a survey of 270 females who are frequent viewers of beauty content on YouTube channels. The data reliability and validity go through various statistical tests including exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Also, structural equation modeling (SEM) is applied to test the hypotheses. The results reveal that there is a positive association between heuristic factors and the perception of information credibility. This perception of information credibility also influences positively on customers' attitudes toward the brand and brand credibility. Purchase intention is also found to be positively associated with the two latter variables. The study's main findings not only offer advice to practitioners on how to choose the right product endorsers and advertising platforms, but they also offer novel insight from the Vietnamese context that could help to extend the heuristic-systematic model and customers' buy intention behavior.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.461-468
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• 2008

The needs for visualizing interactive multimedia contents on portable devices with realistic three dimensional shapes are increasing as new ubiquitous services are coming into reality. Especially in digital fashion applications with virtual reality technologies for clothes of various forms on different avatars, it is required to provide very high quality visual models over mobile networks. Due to limited network bandwidths and memory spaces of portable devices, it is very difficult to transmit visual data effectively and render realistic appearance of three dimensional images. In this thesis, we propose a compression method to reduce three dimensional data for digital fashion applications. The three dimensional model includes animation of avatar which require very large amounts of data over time. Our proposed method utilizes temporal and spatial coherence of animation data, to reduce the amount. By grouping vertices from three dimensional models, the entire animation is represented by a movement path of a few representative vertices. The existing three dimensional model compression approaches can get benefits from the proposed method by reducing the compression sources through grouping. We expect that the proposed method to be applied not only to three dimensional garment animations but also to generic deformable objects.

• Fashion & Textile Research Journal
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• v.18 no.4
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• pp.457-467
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• 2016

This study aimed to develop functional underwear for elderly women in their sixties in terms of good fit, wear comfort and body temperature regulation. To satisfy elderly women's physical and metabolical needs, an automatic temperature control system via PCM treatment was applied. Underwear pattern was produced by producing body surface replica, which was derived from 3D body parametric model. Differential ratios of outline length and area between 3D surface and 2D plane were 1.4% and 0.5%, respectively. The reduction rate was determined as 10% through the expert's evaluation. PCM treated fabric showed higher Q-max, meaning that it can facilitate the thermal transition in hot situation. Moreover, it also showed higher insulation to preserve heat and keep warm microclimate in a cold weather. Heat distribution measurements on various body parts revealed that the temperature after PCM treatment was significantly higher. The clothing pressure after 10% pattern reduction showed higher before reduction, at the same time, even lower than the comfort clothing pressure range of $5{\sim}10gf/cm^2$, implying that experimental garment of this research is acceptable in terms of clothing pressure. Evaluation results on the comfort to move in various motions proved that adequate clothing pressure improved the wear comfort in various motions.