Department of Informatics Engineering, Universitas Trunojoyo Madura, Indonesia
BibTex Citation Data :
@article{JTSISKOM13559, author = {Arik Kurniawati and Ari Kusumaningsih and Yanuar Aliffio}, title = {Clothing size recommender on real-time fitting simulation using skeleton tracking and rigging}, journal = {Jurnal Teknologi dan Sistem Komputer}, volume = {8}, number = {2}, year = {2020}, keywords = {virtual fitting room; recommendation system; Kinect; clothing size; body movements}, abstract = {Virtual fitting room (VFR) is a technology that replaces conventional fitting rooms. The VFR is not only available in shops, malls, and any shopping center but also in online stores, which makes VFR technology more and more developed, primarily to support online garment sales. VFR become a trending research interest since Microsoft has developed a Kinect tracking system. In this paper, we proposed the interactive 3D virtual fitting room using Microsoft's Kinect tracking and the rigging technique from 3D Modeling Blender and to implement the VFR. VFR manages the progress of virtual fitting that forms the three-dimensional simulations and visualization of garments on virtual counterparts of the real prospective buyer (user). Users can view the clothing animation on the various poses that are following the user body movements. The system can evaluate the user’s match, guiding them to choose the suitable size of the clothes using Euclidean distance.}, issn = {2338-0403}, pages = {127--132} doi = {10.14710/jtsiskom.8.2.2020.127-132}, url = {https://jtsiskom.undip.ac.id/article/view/13559} }
Refworks Citation Data :
Article Metrics:
Last update:
Exploring student experiences with a virtual learning environment in an apparel and textiles curriculum during the COVID-19 pandemic
A Proposal for Clothing Size Recommendation System Using Chinese Online Shopping Malls: The New Era of Data
Virtual Design Method of Customized Clothing Based on Three-Dimensional Image
[Retracted] Study on 3D Clothing Color Application Based on Deep Learning‐Enabled Macro‐Micro Adversarial Network and Human Body Modeling
Study on 3D Clothing Color Application Based on Deep Learning-Enabled Macro-Micro Adversarial Network and Human Body Modeling
Last update: 2024-11-25 10:59:39
Starting from 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.
The author(s) guarantee that:
The author(s) retain all rights to the published work, such as (but not limited to) the following rights:
Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. JTSiskom will not be held responsible for anything arising because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.
Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.