Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
G6E6Z
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.
Raveen Wijayawickrama. 2021. \u201cIoT Based Sign Language Recognition System\u201d. Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 20 (GJCST Volume 20 Issue A1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
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.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
