Sign language is the key communication medium, which deaf and mute people use in their day-to-day life. Talking to disabled people will cause a difficult situation since a non- mute person cannot understand their hand gestures and in many instances mute people are hearing impaired. Same as Sinhala, Tamil, English, or any other language, sign language also tend to have differences according to the region. This paper is an attempt to assist deaf and mute people to develop an effective communication mechanism with non-mute people. The end product of this project is a combination of a mobile application that can translate the sign language into digital voice and IoT enabled, light-weighted wearable glove, which capable of recognizing twenty-six English alphabet, 0-9 numbers, and words. Better user experience provide with voice-to-text feature in mobile application to reduce the communication gap within mute and non-mute communities. Research findings and results from current system visualize the output of the product can be optimized up to 25%-35% with enhanced pattern recognition mechanism.

How to Cite
WIJAYAWICKRAMA, RAVINI PREMACHANDRA, THILAN PUNSARA, ACHINTHA CHANAKA, Raveen. IoT Based Sign Language Recognition System. Global Journal of Computer Science and Technology, [S.l.], jan. 2021. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/2005>. Date accessed: 15 aug. 2022.