Preliminary Development of Virtual Try-On Platform for Batik Apparel Based on Mobile Augmented Intelligence Technology

Abstract

During the COVID-19 pandemic, the government decided to suspend all arts cultural events to prevent the spread of the virus. This situation is a challenge for batik artisans to survive. This research aims to develop a virtual try-on platform that is an alternative medium for artisans to solve their problems. Development platforms based on augmented reality technology can be an option for the problems. Platform designed based on mobile devices has advantages in the practicality of use that is not limited by space and time. Implementation of human motion capture and hand gesture recognition provides an immersive experience for users. Motion capture is used for a virtual try-on scheme for batik apparel that can make users try batik apparel virtually and can automatically fit the user’s body. In addition, the implementation of hand gesture recognition allows users to apply batik motifs to virtual apparel interactively combined with material fitting function, which can assist users in positioning batik motifs. Apart from technical matters, this platform also provides information about the history of batik motifs. Alpha testing is used in testing the platform and confusion matrix to validate the accuracy of implementing the functions that exist on the platform. The results of testing the accuracy of hand gesture recognition reached 97%, and human motion capture reached 93%, which means the system can run well. This paper describes the initial efforts made to develop a virtual try-on platform for batik apparel based on Augmented Intelligence Technology.