Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model
Sign language is an essential means of communication for individuals with hearing
disabilities. However, there is a significant shortage of sign language interpreters in some …
disabilities. However, there is a significant shortage of sign language interpreters in some …
StepNet: Spatial-temporal part-aware network for sign language recognition
Sign language recognition (SLR) aims to overcome the communication barrier for the
people with deafness or the people with hard hearing. Most existing approaches can be …
people with deafness or the people with hard hearing. Most existing approaches can be …
Sign classification in sign language corpora with deep neural networks
L Pigou, M Van Herreweghe… - Sign-lang@ LREC …, 2016 - sign-lang.uni-hamburg.de
Automatic and unconstrained sign language recognition (SLR) in image sequences remains
a challenging problem. The variety of signers, backgrounds, sign executions and signer …
a challenging problem. The variety of signers, backgrounds, sign executions and signer …
[PDF][PDF] Sign language recognition with visual attention
Abstract Sign Lnaguage Recognition hold significant importance to move towards a globally
connected generation, by laying the foundation in the development of support systems for …
connected generation, by laying the foundation in the development of support systems for …
Recognition of Indian sign language (ISL) using deep learning model
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 …
language to ease the communication between the signer and non-signer community. In this …
Korean Sign Language Alphabet Recognition through the Integration of Handcrafted and Deep Learning-Based Two-Stream Feature Extraction Approach
Recognizing sign language plays a crucial role in improving communication accessibility for
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
the Deaf and hard-of-hearing communities. In Korea, many individuals facing hearing and …
Multi-modal fusion sign language recognition based on residual network and attention mechanism
C Chu, Q Xiao, Y Zhang, X Liu - International Journal of Pattern …, 2022 - World Scientific
Sign language recognition (SLR) is a useful tool for the deaf-mute to communicate with the
outside world. Although many SLR methods have been proposed and have demonstrated …
outside world. Although many SLR methods have been proposed and have demonstrated …
Hybrid InceptionNet based Enhanced Architecture for Isolated Sign Language Recognition
Sign language is a common way of communication for people with hearing and/or speaking
impairments. AI-based automatic systems for sign language recognition are very desirable …
impairments. AI-based automatic systems for sign language recognition are very desirable …
Multi-input CNN-LSTM for end-to-end Indian sign language recognition: A use case with wearable sensors
R Gupta - Challenges and applications for hand gesture …, 2022 - igi-global.com
Sign language predominantly involves the use of various hand postures and hand motions
to enable visual communication. However, signing is mostly unfamiliar and not understood …
to enable visual communication. However, signing is mostly unfamiliar and not understood …
A deep sign language recognition system for Indian sign language
Deaf people face major challenges during communication with normal people. Employing a
human interpreter (a person who converts Sign language (SL) into a language that the …
human interpreter (a person who converts Sign language (SL) into a language that the …