Media Journal of General Computer Science (MJGCS)
Vol. 1 No. 2 (2024): MJGCS

Identification of Indonesian Sign Language System Using Deep Learning in Yolo-based

Arahmad taupiq (Department of Informatics, Dinamika Bangsa University)
Muhammad Wildan Fajri (Department of Informatics, Dinamika Bangsa University)
Dannylee (Department of Informatics, Dinamika Bangsa University)

Article Info

Publish Date
29 Jun 2024

Abstract

Deafness, or hearing impairment, refers to the loss of auditory capability in one or both ears. Deaf communities often develop sign languages to facilitate communication. Sign language, which employs hand movements, is commonly adopted by individuals with hearing impairments. In Indonesia, two primary sign languages are used: BISINDO (Bahasa Isyarat Indonesia) and SIBI (Sistem Isyarat Bahasa Indonesia). The main distinction between these languages is that BISINDO employs both hands for signing, whereas SIBI uses only one hand. Individuals with hearing impairments face significant communication challenges. This study focuses on the detection of alphabets in the Indonesian Sign Language System (SIBI) using YOLO v5. The objective is to recognize alphabetic characters through hand gesture signals. Experimental results indicate a detection success rate of 95.38%, accurately identifying 23 out of the 24 tested letters.

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Journal Info
Media Journal of General Computer Science (MJGCS)
Website

Abbrev

mjgcs

Publisher

Media Applied Science and Engineering

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

Description

Media Journal of General Computer Science (MJGCS), e-ISSN: 3031-3651 is a peer-reviewed journal in Indonesian or English. The purpose of this publication is to disseminate high-quality articles that are devoted to discussing any and all elements of the most recent and noteworthy advancements in the ...