Quantitative survey of the state of the art in sign language recognition
O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …
papers with over 400 experimental results. It includes most papers between the start of the …
Understanding vision-based continuous sign language recognition
N Aloysius, M Geetha - Multimedia Tools and Applications, 2020 - Springer
Real-time sign language translation systems, that convert continuous sign sequences to
text/speech, will facilitate communication between the deaf-mute community and the normal …
text/speech, will facilitate communication between the deaf-mute community and the normal …
Deep learning technology to recognize american sign language alphabet
Historically, individuals with hearing impairments have faced neglect, lacking the necessary
tools to facilitate effective communication. However, advancements in modern technology …
tools to facilitate effective communication. However, advancements in modern technology …
Arabic sign language recognition system using 2D hands and body skeleton data
MA Bencherif, M Algabri, MA Mekhtiche, M Faisal… - IEEE …, 2021 - ieeexplore.ieee.org
This paper presents a novel Arabic Sign Language (ArSL) recognition system, using
selected 2D hands and body key points from successive video frames. The system …
selected 2D hands and body key points from successive video frames. The system …
Development and validation of a Brazilian sign language database for human gesture recognition
Sign language recognition is considered the most important and challenging application in
gesture recognition, involving the fields of pattern recognition, machine learning and …
gesture recognition, involving the fields of pattern recognition, machine learning and …
A comprehensive review of sign language recognition: Different types, modalities, and datasets
DM Madhiarasan, P Roy, P Pratim - arXiv preprint arXiv:2204.03328, 2022 - arxiv.org
A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …
the communication barriers between the inaudible and ordinary people. Sign Language …
Reviewing 25 years of continuous sign language recognition research: Advances, challenges, and prospects
Sign language is a form of visual communication employing hand gestures, body
movements, and facial expressions. The growing prevalence of hearing impairment has …
movements, and facial expressions. The growing prevalence of hearing impairment has …
A real time Arabic sign language alphabets (ArSLA) recognition model using deep learning architecture
Z Alsaadi, E Alshamani, M Alrehaili, AAD Alrashdi… - Computers, 2022 - mdpi.com
Currently, treating sign language issues and producing high quality solutions has attracted
researchers and practitioners' attention due to the considerable prevalence of hearing …
researchers and practitioners' attention due to the considerable prevalence of hearing …
A systematic review on systems-based sensory gloves for sign language pattern recognition: An update from 2017 to 2022
ZR Saeed, ZB Zainol, BB Zaidan, AH Alamoodi - IEEE Access, 2022 - ieeexplore.ieee.org
Sign language is the predominant mode of communication for the Hearing impaired
community. For the millions of people who suffer from hearing loss around the world …
community. For the millions of people who suffer from hearing loss around the world …
Sign language identification and recognition: A comparative study
Sign Language (SL) is the main language for handicapped and disabled people. Each
country has its own SL that is different from other countries. Each sign in a language is …
country has its own SL that is different from other countries. Each sign in a language is …