Sign Language Communication through Augmented Reality and Speech Recognition (LEARNSIGN)
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2021 by IJETT Journal|
|Year of Publication : 2021|
|Authors : Siti Nurulain Mohd Rum, Braxton Isaiah Boilis
|DOI : 10.14445/22315381/IJETT-V69I4P218|
MLA Style: Siti Nurulain Mohd Rum, Braxton Isaiah Boilis "Sign Language Communication through Augmented Reality and Speech Recognition (LEARNSIGN)" International Journal of Engineering Trends and Technology 69.4(2021):125-130.
APA Style:Siti Nurulain Mohd Rum, Braxton Isaiah Boilis. Sign Language Communication through Augmented Reality and Speech Recognition (LEARNSIGN) International Journal of Engineering Trends and Technology, 69(4),125-130.
For the last few decades, Augmented Reality (AR) has become a popular technology for real-time interaction in virtual worlds. The advancement of AR is the result of an increase in the number of devices that able to unleash the potential of this technology. The primary value of AR is the way it combines the components of the artificial world with the experience of one`s physical world. Studies show that this powerful feature can increase the effectiveness of the teaching and learning process in many fields. In this paper, we present the development of LEARN SIGN, an android-based mobile application for learning sign language. With the incorporation of AR and speech detection technologies, this system can also help people with disabilities, especially the deaf and mute community, to communicate with non-disabled people and vice-versa. To realize this research work, several technologies have been used, such as Unity Software and C# programming language, to develop the proposed system.
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Augmented Reality (AR), Sign Language, Disabled Community