[HTML][HTML] A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier

S Das, MS Imtiaz, NH Neom, N Siddique… - Expert Systems with …, 2023 - Elsevier
Sign language is the comprehensive medium of mass communication for hearing and
speaking impaired individuals. As they can't speak or hear, they aren't able to use sound or …

[Retracted] An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network

M Sethi, S Ahuja, S Rani, D Koundal… - BioMed Research …, 2022 - Wiley Online Library
Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading
to a steady deterioration in cognitive ability. Deep learning models have shown outstanding …

Hand gesture identification using deep learning and artificial neural networks: A review

J John, SP Deshpande - … Applications: Select Proceedings of CIEMA 2022, 2023 - Springer
Any human–computer interaction application needs to be able to recognize gestures. Hand
gesture detection systems that recognize gestures in real time can improve human …

[HTML][HTML] Computer vision-based six layered convneural network to recognize sign language for both numeral and alphabet signs

MA Rahaman, KU Oyshe, PK Chowdhury… - Biomimetic Intelligence …, 2024 - Elsevier
People who have trouble communicating verbally are often dependent on sign language,
which can be difficult for most people to understand, making interaction with them a difficult …

Atom search optimization with deep learning enabled arabic sign language recognition for speaking and hearing disability persons

R Marzouk, F Alrowais, FN Al-Wesabi, AM Hilal - Healthcare, 2022 - mdpi.com
Sign language has played a crucial role in the lives of impaired people having hearing and
speaking disabilities. They can send messages via hand gesture movement. Arabic Sign …

Hand Gesture Recognition in Indian Sign Language Using Deep Learning

HK Vashisth, T Tarafder, R Aziz, M Arora - Engineering Proceedings, 2023 - mdpi.com
Sign languages are important for the deaf and hard-of-hearing communities, as they provide
a means of communication and expression. However, many people outside of the deaf …

Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment

K Artiaga, Y Li, EE Kuruoglu, WK Chan - Multimedia Tools and …, 2024 - Springer
Sign language serves as a vital means of communication for individuals with hearing
impairments, yet recognition resources for the over 100 distinct sign languages are severely …

[PDF][PDF] Interpretation of Expressions through Hand Signs Using Deep Learning Techniques

S Javaid, S Rizvi, MT Ubaid, A Darboe… - International Journal of …, 2022 - researchgate.net
__________________________________… t is a challenging task to interpret sign
language automatically, as it comprises high-level vision features to accurately understand …

Transfer-Learning Based User-Personalization of Indian Sign Language Recognition System

R Gupta, S Golaya, R Srinivasan - 2022 8th International …, 2022 - ieeexplore.ieee.org
Differently abled people who cannot speak or hear often face difficulties when
communicating with others, due to unavailability of translators, and sign languages not …

Static hand gesture recognition using multi-dilated DenseNet-based deep learning architecture

J John, S Deshpande - The Imaging Science Journal, 2023 - Taylor & Francis
ABSTRACT Hand Gesture Recognition (HGR), a Human-Robot Interaction (HRI) create user
interfaces to enhance safety and control. Several approaches are introduced to recognize …