Sign language/gesture recognition based on cumulative distribution density features using UWB radar

B Li, J Yang, Y Yang, C Li… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
It is an important topic to effectively perceive the gestures of the elderly and patients,
communicate conveniently with the deaf and dumb, and accurately transmit abnormal alarm …

Arabic sign language recognition using convolutional neural network and mobilenet

E Aldhahri, R Aljuhani, A Alfaidi, B Alshehri… - Arabian Journal for …, 2023 - Springer
Individuals who are deaf or those having hearing problems can communicate through
alternative modes of communication, such as sign language, both within and outside their …

Applying hybrid deep neural network for the recognition of sign language words used by the deaf Covid-19 patients

A Venugopalan, R Reghunadhan - Arabian Journal for Science and …, 2023 - Springer
The rapid spread of the novel corona virus disease (COVID-19) has disrupted the traditional
clinical services all over the world. Hospitals and healthcare centers have taken extreme …

LERMO: A Novel Web Game for AI-Enhanced Sign Language Recognition

A Medronha, L Lima, J Claudio, L Kupssinskü… - Proceedings of the …, 2024 - ojs.aaai.org
Sign language is a visual and gestural communication system used by deaf and hearing-
impaired people. Despite numerous deep learning methods proposed for automatic …

Türk İşaret Dilinin Sınıflandırılması için Derin Öğrenme Yaklaşımları

I Pacal, M Alaftekin - Journal of the Institute of Science and …, 2023 - dergipark.org.tr
İşaret dili, sağır ve dilsiz bireylerin duygularını, düşüncelerini ve sosyal kimliklerini
çevrelerine aktarabilmek için kullandıkları sözsüz bir iletişim aracıdır. İşaret dili, sağır ve …

KUNet-An Optimized AI based Bengali Sign Language Translator for Deaf and Dumb People

AAJ Jim, I Rafi, JJ Tiang, U Biswas, AA Nahid - IEEE Access, 2024 - ieeexplore.ieee.org
Sign language is the most prevalent form of communication among people with speech and
hearing disabilities. The most widely used types of sign language involve the creation of …

Real-Time Word Level Sign Language Recognition Using YOLOv4

S Sharma, R Sreemathy, M Turuk… - 2022 International …, 2022 - ieeexplore.ieee.org
Sign Language is a communication language for hearing and speech impaired people. To
establish communication between hearing/speech impaired people and normal people …

Motion based Indian sign language recognition using deep learning

A Ganpatye, S Mane - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Despite a large section of people being hearing impaired, there is still less awareness about
sign language. These people use sign language to communicate with others, which …

A Palm Index and Hand Gesture-Based User Authentication System

S Das, A Kumar, D Mukhopadhyay… - 2023 14th …, 2023 - ieeexplore.ieee.org
Hand gesture recognition has emerged as an exciting technology that offers a more
authentic and interpersonal way of human-machine interaction. This work proposes a new …

Identification of Sign Language Alphabets on Static Images Using Deep Learning

BB Jayasingh, S Mallick - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Deaf and mute individuals often rely on sign language interpreters to facilitate
communication. However, finding proficient interpreters can be challenging and costly. To …