DEVELOPMENT OF THE SIGNLINGUA APPLICATION FOR LEARNING MALAY SIGN LANGUAGE

Abstract

SignLingua is a mobile application designed to facilitate the learning of Malay Sign Language (MySL), specifically addressing the significant communication barriers between the deaf community and the hearing population in Malaysia. Despite MySL being a key communication method among the deaf, limited resources, lack of awareness, and low engagement among hearing individuals have led to a persistent communication gap. This study aims to bridge that gap by developing an interactive, localized, and user-friendly learning platform that incorporates gamified modules, quizzes, and a camera-based prototype for real-time sign language recognition. Developed using Agile methodology and the Software Development Life Cycle (SDLC), the app leverages tools such as Android Studio, Firebase, and TensorFlow Lite. The key contribution of the study lies in the integration of MySL content with gamification and emerging AI-based features, offering a more engaging and inclusive learning experience. Findings show that SignLingua enhances user engagement and learning outcomes through its multimodal and localized approach. Future improvements should focus on refining the gesture recognition component, expanding vocabulary coverage, and increasing accessibility to cater to a broader audience.