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Virtual Try on Using Kinect Sensor Based on Augmented Reality

Author(s):

Kajal Vasant Gaikwad , Logmieer nashik; Divya Chaudhari, Logmieer nashik; Massera Sayyed, Logmieer nashik; Adnan Shaikh, Logmieer nashik; Prof.P.N.Pathak, Logmieer nashik

Keywords:

Virtual Dressing Room, Microsoft Kinect, Skeleton Tracking and Rendering, 3D Model

Abstract

Trying on new clothing at stores can be very difficult for people who are always conscious about their health in such times. This has caused people to turn to online shopping, but it also brings the problem of clothes being too loose or too tight and users have to return them often before finding the right size. Our project targets this problem by introducing a virtual fitting room, in which the users can scan their measurements perfectly and browse different styles and see how they would look in those clothes using Augmented Reality (AR) technology. Although Augmented reality (AR) implication has increased in the cosmetic industry, the technology seems to not be always accepted and used by consumers. This is a challenging issue calling further investigation. The present paper addresses this challenge in an attempt to provide the needed understanding on the key drivers of AR experience and how these might enhance the consumer purchase experience itself. After trying a product via virtual try-on, participants in the current study had to provide evaluation in terms of both AR and purchase experience. In addition, qualitative data including interviews are used to complement and interpret the results. The results show that virtual try-on affects the sales results: the average sales per customer increased by 14,000 won (13USD). The most important finding is that the return rate decreased by 27% by filtering out incorrect sizes and fits. Virtual try-on may very well replace physical fitting rooms. This study presents an advanced technology of 3D virtual try-on and shows that virtual try-on is an effective tool to boost sales and decrease customer's returns in a case study of women's casual L brand.

Other Details

Paper ID: IJSRDV11I30229
Published in: Volume : 11, Issue : 3
Publication Date: 01/06/2023
Page(s): 261-264

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