A Dynamic Fitting Room Based on Microsoft Kinect and Augmented Reality Technologies

Chang, Hsien-Tsung; Li, Yuwen; Chen, Huan-Ting; Feng, Shih-Yi; Chien, Tsung-Tien

doi:10.1007/978-3-642-39330-3_19

Cited by 15 publications

(13 citation statements)

References 7 publications

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“…Previously, researchers focused on the development, usability, and user acceptance of the AR technology (Chang et al , 2013; Huang et al , 2011; Kang, 2014; Lu and Smith, 2007; Rese et al , 2017), AR's experiential value at the pre-purchase stage (Bulearca and Tamarjan, 2010; Huang and Liu, 2014; Kang, 2014), and AR's impact on purchase intentions (Beck and Crié, 2018; Huang and Liu, 2014; Rese et al , 2017). However, no researcher, to our knowledge, has specifically developed a study to compare consumers' perceptions of using AR for evaluating garment sizes, fit, and product attributes when shopping online with their responses towards the physical garments once they were “ordered and received.” Therefore, the purpose of the present study was to examine consumers' perceptions of a garment's size, fit, product performance, attitudes towards the product, and purchase intentions when using AR virtual try-on in an online shopping context as compared to when physically trying on the real garment.…”

Section: Introductionmentioning

confidence: 99%

Evaluating garments in augmented reality when shopping online

Baytar

Chung

Shin

2020

JFMM

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PurposeAugmented Reality (AR) integrates computer-generated images to a physical environment in real-time. Online apparel shopping presents some product-related risks, as consumers can neither physically see and touch the products nor try them on. The present study examined whether AR conveys reliable apparel product information in terms of fit, size, and product performance; and how AR affects attitudes toward apparel and purchase intentions when shopping online.Design/methodology/approachThis research was designed as a within-subject quasi-experimental study using repeated measures in two conditions: virtual try-on using the AR technology vs. physical try-on. A scenario was developed to help participants imagine themselves shopping online for a specific dress.FindingsResults indicated that size and color of dresses were conveyed accurately when utilizing AR as compared to physical try-on. Visual attributes such as style, garment details, and coordination with other items were found to be satisfactorily predicted when AR was employed. Overall, attitudes towards both AR and real dress, and purchase intentions were favorable. Participants with higher telepresence levels were found to have more positive attitudes towards the dress and greater purchase intentions when using AR as compared to the participants with low telepresence levels.Research limitations/implicationsOur findings implied that AR can provide enough information especially for garment sizes and visual characteristics when making purchase decisions. AR technology can be instrumental in introducing a certain style, building positive attitudes towards products, and driving sales, when the consumers perceive a certain level of “being there”. This study was limited to female students in North America. Also, because a single stimulus was used, the results cannot be generalized to other stimuli.Originality/valueOur study findings showed that participants were able to select the right garment size by using AR. The average ratings for visual characteristics such as style and detail were above the neutral level when using AR; indicating that participants can understand visual attributes in AR when shopping online. Moreover, in the AR condition participants with higher telepresence levels had higher attitudes towards the garment and purchase intentions as compared to the participants with low telepresence. AR can be instrumental for online apparel shopping. Retailers need to understand the potentials of these technologies and work with technology developers to enhance consumers' experiences.

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Section: Introductionmentioning

confidence: 99%

Evaluating garments in augmented reality when shopping online

Baytar

Chung

Shin

2020

JFMM

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“…The value measured was very close to the actual size. The proposed system was found to be useful in reducing the shopping time [95] Parekh et al Visual Computing for Industry, Biomedicine, and Art (2020) 3:21…”

Section: Dynamic Fitting Room Using Microsoft Kinect and Ar Technologiesmentioning

confidence: 99%

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

Parekh

Patel

et al. 2020

Vis. Comput. Ind. Biomed. Art

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This paper presents a detailed review of the applications of augmented reality (AR) in three important fields where AR use is currently increasing. The objective of this study is to highlight how AR improves and enhances the user experience in entertainment, medicine, and retail. The authors briefly introduce the topic of AR and discuss its differences from virtual reality. They also explain the software and hardware technologies required for implementing an AR system and the different types of displays required for enhancing the user experience. The growth of AR in markets is also briefly discussed. In the three sections of the paper, the applications of AR are discussed. The use of AR in multiplayer gaming, computer games, broadcasting, and multimedia videos, as an aspect of entertainment and gaming is highlighted. AR in medicine involves the use of AR in medical healing, medical training, medical teaching, surgery, and post-medical treatment. AR in retail was discussed in terms of its uses in advertisement, marketing, fashion retail, and online shopping. The authors concluded the paper by detailing the future use of AR and its advantages and disadvantages in the current scenario.

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“…Lange et al [11] used Kinect somatosensory technique to provide limb recovery training for sports rehabilitation patients by combining the skeleton data with virtual scenes. Chang et al [12] designed a fitting mirror system with Kinect and AR technique to permit users to try clothes by gestures. Benko et al [13] built the DepthTouch platform with Kinect, and users could directly interact with the 3D virtual scene projected on the plane.…”

Section: Kinect-based Interactionmentioning

confidence: 99%

Posture Recognition Technology Based on Kinect

Chu

Xin

2020

IEICE Trans. Inf. & Syst.

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Aiming at the complexity of posture recognition with Kinect, a method of posture recognition using distance characteristics is proposed. Firstly, depth image data was collected by Kinect, and threedimensional coordinate information of 20 skeleton joints was obtained. Secondly, according to the contribution of joints to posture expression, 60 dimensional Kinect skeleton joint data was transformed into a vector of 24-dimensional distance characteristics which were normalized according to the human body structure. Thirdly, a static posture recognition method of the shortest distance and a dynamic posture recognition method of the minimum accumulative distance with dynamic time warping (DTW) were proposed. The experimental results showed that the recognition rates of static postures, non-cross-subject dynamic postures and cross-subject dynamic postures were 95.9%, 93.6% and 89.8% respectively. Finally, posture selection, Kinect placement, and comparisons with literatures were discussed, which provides a reference for Kinect based posture recognition technology and interaction design.

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A Dynamic Fitting Room Based on Microsoft Kinect and Augmented Reality Technologies

Cited by 15 publications

References 7 publications

Evaluating garments in augmented reality when shopping online

Evaluating garments in augmented reality when shopping online

Systematic review and meta-analysis of augmented reality in medicine, retail, and games

Posture Recognition Technology Based on Kinect

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