[HTML][HTML] A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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 …
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
__________________________________… t is a challenging task to interpret sign
language automatically, as it comprises high-level vision features to accurately understand …
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 …
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 …
interfaces to enhance safety and control. Several approaches are introduced to recognize …