Framework of personalized clothing visualization

Zhu, Xiaoyan; Wu, Xue Chen; Shi, Xin; Xu, Bugao

doi:10.1108/ijcst-07-2016-0080

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…The 3D web virtual display technology of clothing also enables consumers to obtain their own personalized products. The latter can watch it online interactively in real-time (Zhu et al, 2018).…”

Section: E-customisationmentioning

confidence: 99%

How multisensory perception promotes purchase intent in the context of clothing e-customisation

Guo

Chen

et al. 2022

Front. Psychol.

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With the continuing development of internet technologies, an increasing number of consumers want to customise the products they buy online. In order to explore the relationship between perception and purchase intent, a conceptual framework was developed that was based on the link between multisensory perception, positive emotions, and purchase intent in fashion e-customisation marketing. We discuss the outcomes derived from consumers’ experiences in fashion e-customisation and analyse the relationships between variables. Questionnaires were used to collect data for this quantitative study (n = 398 participants). The data was analysed using factor analysis, correlation analysis, and regression analysis. The findings contribute to the field of clothing e-customisation by identifying the effects of visual perception, haptic imagery, and auditory stimulation on arousal, and purchase intent. Visual perception and haptic imagery exerted a positive influence over dominance. We also identify the effects of arousal and dominance on purchase intent, and assess the mediating effects of these variables on visual perception, haptic mental imagery, and purchase intent. The results highlight how fashion e-customisation marketing strategies can be adopted by managers in order to increase positive emotions and how multisensory perception can potentially be used to influence consumers’ purchase behaviour.

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Section: E-customisationmentioning

confidence: 99%

How multisensory perception promotes purchase intent in the context of clothing e-customisation

Guo

Chen

et al. 2022

Front. Psychol.

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“…It is no longer the same as the manual mode in the past to make patterns but directly according to actual needs, in accordance with the general matching principles in the computer system such as color sample matching and style matching, combining different materials, different styles, and different color designs in ways such as style matching [1,2]. The clothing virtual collocation system is to realize the virtual collocation technology so that the technology can be used in the computer system to choose the matching of different clothing so that the user can know the final effect in advance before the actual production design of the clothing and modify the unsatisfactory details-speed of response to winning the market [3].…”

Section: Introductionmentioning

confidence: 99%

Computer 5G Virtual Reality Environment 3D Clothing Design

Liu

2022

Mobile Information Systems

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With the increasing computing power of computer hardware and the continuous development of Internet technology, it has become possible to sell clothing online. In this context, virtual clothing shops and fitted clothing have also started to appear online and people have a new platform to choose their clothing. In the development of the clothing industry, e-tailoring will become a new trend, and if we look at the clothing industry as a whole, e-tailoring is bound to develop rapidly, as it is now difficult for people to find clothes they are happy with on the shelves. However, many clothing shops on online platforms are now able to provide a more limited service to people, making it difficult for consumers to buy the right clothes for them, and the situation of returns is more serious. So many consumers are still more willing to buy clothes in the physical shop; if we can use the virtual reality environment of three-dimensional clothing design, consumers in the online clothing shop can freely choose their favorite clothing, and then the selected clothing considers the proposed wear in accordance with the size of the consumer production of the human body virtual model to observe the three-dimensional effect so that consumers can choose more suitable clothing. This paper mainly studies the 3D clothing design method in the computer 5G virtual reality environment. In the context of the computer 5G era, this article discusses the characteristics of virtual reality technology in detail and proposes a modeling method for 3D clothing design based on virtual reality. Based on the research status of 3D clothing design at home and abroad, this paper further studies the construction of clothing virtual design and designs and realizes the functions of character virtual modeling, clothing virtual modeling, and accessory virtual modeling. According to the defects of the existing 3D clothing design, a more mature three-dimensional clothing design method based on actual needs is developed. This paper analyzes the 3D clothing design process in detail through demand analysis; constructs the system functional block diagram, system architecture diagram, style customization flowchart, database table, etc.; designs the 3D clothing design module; and designs the main clothing and portraits—part of the modeling. Experimental studies have found that as long as ∣ Z ∣ > 0.042547 is satisfied, the clothing and the human body part can be prevented from crossing when the clothing matches the human body. In this article, in order to prevent large deviations in the garment stitching process, if it is the front piece of the garment, take Z = 0.06 . If it is the back film, take Z = − 0.06 . Virtual reality technology-assisted clothing design has become a new model of computer-aided clothing design, which has successfully promoted the transformation of enterprise employment forms and the improvement of enterprise production efficiency. The percentages of the left neck point, right neck point, left hip point, and right hip point in the human feature points were 15%, 23%, 31%, and 31%, respectively.

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“…Custom-tailored garment is now in vogue thanks to the explosive growth in apparel demand and the increasingly diverse tastes in clothing (Zhu et al, 2017;Sun et al, 2017). Before customization, it is important to obtain the accurate sizes of the bust, waist and hip (BWH) of the consumer.…”

Section: Introductionmentioning

confidence: 99%

An intelligent, automatic body measurement system based on ultrasonic sensor arrays

Wang¹

2018

isi

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This paper aims to achieve automatic and efficient measurement of the body in garment customization. Therefore, an intelligent body measurement system was established based on ultrasonic sensor arrays, which can efficiently capture the bust, waist and hip (BWH) information. In the system, the exact distance between the body and the sensor is captured by a pair of ultrasonic sensor arrays; then, the depth information is processed by the BWH generation method, including space coordinate generation, curve fitting and curve integration. The experimental results show that the proposed system can achieve a measuring accuracy of 99.61%, indicating that the proposed system is an ideal tool for garment customization.RÉSUMÉ. Cet article vise à ré aliser une mesure automatique et efficace du corps dans la personnalisation du vê tement. Par consé quent, un systè me de mesure du corps intelligent a é té é tablit basé sur les ré seaux de capteurs ultrasoniques, qui peuvent capturer efficacement les informations concernant le buste, la taille et la hanche (BWH). Dans ce systè me, la distance exacte entre le corps et le capteur est capturé e par une paire de ré seaux de capteurs ultrasoniques; ensuite, les informations de profondeur sont traité es par la mé thode de gé né ration BWH, y compris la gé né ration de coordonné es spatiales, l'ajustement de courbes et l'inté gration de courbes. Les ré sultats expé rimentaux montrent que le systè me proposé peut atteindre une pré cision de mesure de 99,61%, indiquant que le systè me proposé est un outil idé al pour la personnalisation du vê tement.

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Framework of personalized clothing visualization

Cited by 7 publications

References 2 publications

How multisensory perception promotes purchase intent in the context of clothing e-customisation

How multisensory perception promotes purchase intent in the context of clothing e-customisation

Computer 5G Virtual Reality Environment 3D Clothing Design

An intelligent, automatic body measurement system based on ultrasonic sensor arrays

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