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AUTHOR(S):

Gizem Günyolu, İpek Kural, Sena Yaren Ebci̇n, Sude Şahi̇n, Kemal Gokhan Nalbant

 

TITLE

Image Processing-based Turkish Sign Language Education Application – Mimica

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ABSTRACT

Communication involves information exchange between a sender and receiver through various means. Sign language is a form of nonverbal communication that relies on facial expressions and hand movements. Sign language has long been used to help people with hearing impairments communicate and participate in society - from the earliest human history records.This study presents a mobile application designed to support Turkish Sign Language education and public awareness. It is an application for those with hearing loss or who want to communicate with them. With a set of level-based video lessons and an integrated image processing system, the application gives immediate feedback to encourage accurate gesture execution and support effective learning.The project presents a more accessible design by analyzing similar solutions, their shortcomings, and addressing gaps. Main objectives are to spread Turkish Sign Language and increase social inclusion for the hearing impaired.

KEYWORDS

Turkish Sign Language, educational app, image processing, public awareness

 

Cite this paper

Gizem Günyolu, İpek Kural, Sena Yaren Ebci̇n, Sude Şahi̇n, Kemal Gokhan Nalbant. (2025) Image Processing-based Turkish Sign Language Education Application – Mimica. International Journal of Computers, 10, 327-336

 

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