Sign language: a systematic review on classification and recognition

S Renjith, R Manazhy - Multimedia Tools and Applications, 2024 - Springer
Sign language serves as an alternative communication mode for those with limitations in
hearing and speaking abilities. In India, an estimated population of around 2.7 million …

[HTML][HTML] DeepASLR: A CNN based human computer interface for American Sign Language recognition for hearing-impaired individuals

A Kasapbaşi, AEA Elbushra, ALH Omar… - Computer methods and …, 2022 - Elsevier
Background Sign language is an essential means of communication for hearing-impaired
individuals. Objective We aimed to develop an American sign language recognition dataset …

An automated brain tumor classification in MR images using an enhanced convolutional neural network

R Singh, BB Agarwal - International Journal of Information Technology, 2023 - Springer
MRI is a non-invasive imaging tool, accurate classification of brain tumours from MRI images
is a highly specialized area of a medical study. Classification of brain tumours is a method …

The use of artificial intelligence for detecting the duration of autistic students' emotions in social interaction with the NAO robot: a case study

G Lorenzo, A Lorenzo-Lledó - International Journal of Information …, 2024 - Springer
Within the field of education, technology is a fundamental element in responding to the
diversity of students in the classroom. In this sense, robotics is the tool that can best help the …

[PDF][PDF] Rotation, Translation and Scale Invariant Sign Word Recognition Using Deep Learning.

ASM Miah, J Shin, M Al Mehedi Hasan… - … Systems Science & …, 2023 - researchgate.net
Communication between people with disabilities and people who do not understand sign
language is a growing social need and can be a tedious task. One of the main functions of …

Gesture image recognition method based on DC-Res2Net and a feature fusion attention module

Q Tian, W Sun, L Zhang, H Pan, Q Chen… - Journal of Visual …, 2023 - Elsevier
To extract decisive features from gesture images and solve the problem of information
redundancy in the existing gesture recognition methods, we propose a new multi-scale …

Automated recognition of Myanmar sign language using deep learning module

NN Kyaw, P Mitra, GR Sinha - International Journal of Information …, 2024 - Springer
The recognition of sign language in real-time poses a significant challenge due to the
dynamic nature of hand gestures, and determination of the start and end points of each …

Vision transformers and transfer learning approaches for arabic sign language recognition

NM Alharthi, SM Alzahrani - Applied Sciences, 2023 - mdpi.com
Sign languages are complex, but there are ongoing research efforts in engineering and data
science to recognize, understand, and utilize them in real-time applications. Arabic sign …

Performance analysis of static hand gesture recognition approaches using artificial neural network, support vector machine and two stream based transfer learning …

AR Patil, S Subbaraman - International Journal of Information Technology, 2022 - Springer
Gesture recognition is the statistical representation used to identify specific gestures of
motion involving the hands, head, face, and/or body. The paper addresses Hand Gesture …

Design and evaluation of hybrid search for american sign language to english dictionaries: Making the most of imperfect sign recognition

S Hassan, AA Amin, A Gordon, S Lee… - Proceedings of the 2022 …, 2022 - dl.acm.org
Searching for the meaning of an unfamiliar sign-language word in a dictionary is difficult for
learners, but emerging sign-recognition technology will soon enable users to search by …