Construction of SIBI Datasets for Sign Language Recognition Using a Webcam
- DOI
- 10.2991/assehr.k.210203.114How to use a DOI?
- Keywords
- SIBI datasets, sign language, recognition
- Abstract
SIBI (Sistem Isyarat Bahasa Indonesia) is a sign language established by the Government of Indonesia as a standard of communication that used in Special School. Hence, not everyone can understand the sign language, even though people have ability to hear. They also must be able to understand the sign language in order to conduct a communication. Currently, technology of recognition has been applied to hand gestures that can translate sign language. Various studies regarding sign language recognition have been developed and there are many applications that can recognize sign language through hand gesture as datasets using webcam, but there still restricted on the datasets in SIBI. Therefore, the study aims to create SIBI datasets via hand gesture using experimental method. So that, the application can be used by SIBI users. SIBI datasets were successfully created with signs that consisting of 8 static word. Based on the confusion matrix, all the signs that has been created have a precision of 100%, meanwhile based on the test results with sufficient lighting conditions and plain background, SIBI datasets has a prediction success rate of 97,5%.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dandhi Kuswardhana AU - Iva Rachmawati AU - Ghina Nadifah Amani AU - Hendra Fauzi AU - Agus Heri Setya Budi PY - 2021 DA - 2021/02/04 TI - Construction of SIBI Datasets for Sign Language Recognition Using a Webcam BT - Proceedings of the 6th UPI International Conference on TVET 2020 (TVET 2020) PB - Atlantis Press SP - 186 EP - 189 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210203.114 DO - 10.2991/assehr.k.210203.114 ID - Kuswardhana2021 ER -