An efficient sign language recognition system (SLRS) can recognize the gestures of sign
language to ease the communication between the signer and non-signer community. In this …

In this paper, a hybrid feature selection technique named mRMR-PSO has been proposed
with a multiobjective approach for automatic recognition of sign language. The features are …

Given video streams, we aim to correctly detect unsegmented signs related to continuous
sign language recognition (CSLR). Despite the increase in proposed deep learning …

The recent advancements in computer vision and deep learning have led to promising
progress in various motion detection and gesture recognition methods. Thriving efforts in the …

Abstract Neural Sign Language Translation (SLT), which is an important cross-modal task to
bridge the communication gap between the deaf and the hearing people, has attracted great …

No one can deny that the deaf-mute community has communication problems in daily life.
Advances in artificial intelligence over the past few years have broken through this …

In the paper there is described a process of modeling the discrete control system for a
chemical reactor. In the design of the control algorithm there was used Finite State Machine …

Deaf individuals confront significant communication obstacles on a daily basis. Their
inability to hear makes it difficult for them to communicate with those who do not understand …

In a world essentializing communication for human connection, the deaf community
encounters distinct barriers. Sign language, their main communication method is rich in …

Sign language (SL) serves as a visual communication tool bearing great significance for
deaf people to interact with others and facilitate their daily life. Wide varieties of SLs and the …