[HTML][HTML] Machine learning methods for sign language recognition: A critical review and analysis
Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
Artificial intelligence technologies for sign language
I Papastratis, C Chatzikonstantinou, D Konstantinidis… - Sensors, 2021 - mdpi.com
AI technologies can play an important role in breaking down the communication barriers of
deaf or hearing-impaired people with other communities, contributing significantly to their …
deaf or hearing-impaired people with other communities, contributing significantly to their …
A review of the hand gesture recognition system: Current progress and future directions
This paper reviewed the sign language research in the vision-based hand gesture
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
recognition system from 2014 to 2020. Its objective is to identify the progress and what …
Applying deep neural networks for the automatic recognition of sign language words: A communication aid to deaf agriculturists
A Venugopalan, R Reghunadhan - Expert Systems with Applications, 2021 - Elsevier
One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …
Sign language recognition system using TensorFlow object detection API
Communication is defined as the act of sharing or exchanging information, ideas or feelings.
To establish communication between two people, both of them are required to have …
To establish communication between two people, both of them are required to have …
An attention-enhanced multi-scale and dual sign language recognition network based on a graph convolution network
L Meng, R Li - Sensors, 2021 - mdpi.com
Sign language is the most important way of communication for hearing-impaired people.
Research on sign language recognition can help normal people understand sign language …
Research on sign language recognition can help normal people understand sign language …
Incorporating relative position information in transformer-based sign language recognition and translation
Recent advancements in machine translation tasks, with the advent of attention mechanisms
and Transformer networks, have accelerated the research in Sign Language Translation …
and Transformer networks, have accelerated the research in Sign Language Translation …
Gesture recognition of sign language alphabet using a magnetic positioning system
Hand gesture recognition is a crucial task for the automated translation of sign language,
which enables communication for the deaf. This work proposes the usage of a magnetic …
which enables communication for the deaf. This work proposes the usage of a magnetic …
Joint space representation and recognition of sign language fingerspelling using Gabor filter and convolutional neural network
In this work, we are proposing a new technique for visual recognition of fingerspelling of a
sign language by fusing multiple spatial and spectral representations of manual gesture …
sign language by fusing multiple spatial and spectral representations of manual gesture …