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Romanian Journal of Information Technology and Automatic Control / Vol. 33, No. 2, 2023
Smart Fitting: An Augmented Reality mobile application for Virtual Try-On
Ohoud ALZAMZAMI, Sumaiya ALI, Widad ALKIBSI, Ghaidaa KHAN, Amal BABOUR, Hind BITAR
While online shopping has become popular in recent years, certain problems related to customer expectations about the appearance and fitting of clothing items still need to be solved. Online customers looking for clothing products may be unsatisfied as they do not have the possibility to try on clothes and view how they would look on them. Additionally, vendors are burdened with the cost of items returned by unsatisfied customers. Augmented Reality (AR) can help vendors to attract more customers and enhance their shopping experience. Customers are more likely to be satisfied with their purchases when they can try the clothes on before purchasing them, which ultimately reduces the return costs for vendors. This paper presents an AR mobile application called Smart Fitting which was developed in order to allow online customers to try on clothing items by using 3D models virtually. The most recent AR development tools for iOS operating systems, including XCode and Unity, are utilized for creating the proposed mobile application. After an integration testing for the mobile application functions, seven target female consumers participated in the usability evaluation for this mobile application which was meant to prove its ease of use and evaluate the customers’ satisfaction. The obtained results showed that Smart Fitting can improve the users shopping experience by providing a more realistic clothes visualization than the traditional online shopping interfaces.
Keywords:
Augmented Reality, Body Tracking, Unity, Superimposition, Virtual Try-on
CITE THIS PAPER AS:
Ohoud ALZAMZAMI,
Sumaiya ALI,
Widad ALKIBSI,
Ghaidaa KHAN,
Amal BABOUR,
Hind BITAR,
"Smart Fitting: An Augmented Reality mobile application for Virtual Try-On",
Romanian Journal of Information Technology and Automatic Control,
ISSN 1220-1758,
vol. 33(2),
pp. 103-118,
2023.
https://doi.org/10.33436/v33i2y202308