[HTML][HTML] A survey on sign language literature

M Alaghband, HR Maghroor, I Garibay - Machine Learning with …, 2023 - Elsevier
Individuals with hearing impairment encounter various types and levels of difficulties,
highlighting the need for more research to provide effective support. One significant difficulty …

[HTML][HTML] Multistage spatial attention-based neural network for hand gesture recognition

ASM Miah, MAM Hasan, J Shin, Y Okuyama… - Computers, 2023 - mdpi.com
The definition of human-computer interaction (HCI) has changed in the current year because
people are interested in their various ergonomic devices ways. Many researchers have …

[HTML][HTML] Deep learning for highly accurate hand recognition based on yolov7 model

C Dewi, APS Chen, HJ Christanto - Big Data and Cognitive Computing, 2023 - mdpi.com
Hand detection is a key step in the pre-processing stage of many computer vision tasks
because human hands are involved in the activity. Some examples of such tasks are hand …

Isolated arabic sign language recognition using a transformer-based model and landmark keypoints

S Alyami, H Luqman, M Hammoudeh - ACM Transactions on Asian and …, 2024 - dl.acm.org
Pose-based approaches for sign language recognition provide light-weight and fast models
that can be adopted in real-time applications. This article presents a framework for isolated …

[HTML][HTML] American sign language words recognition of skeletal videos using processed video driven multi-stacked deep LSTM

SB Abdullahi, K Chamnongthai - Sensors, 2022 - mdpi.com
Complex hand gesture interactions among dynamic sign words may lead to
misclassification, which affects the recognition accuracy of the ubiquitous sign language …

[HTML][HTML] Multi-stream general and graph-based deep neural networks for skeleton-based sign language recognition

ASM Miah, MAM Hasan, SW Jang, HS Lee, J Shin - Electronics, 2023 - mdpi.com
Sign language recognition (SLR) aims to bridge speech-impaired and general communities
by recognizing signs from given videos. However, due to the complex background, light …

Intelligent sign language recognition system for e-learning context

MJ Hussain, A Shaoor, SA Alsuhibany, YY Ghadi… - 2022 - digitallibrary.aau.ac.ae
In this research work, an efficient sign language recognition tool for e-learning has been
proposed with a new type of feature set based on angle and lines. This feature set has the …

Sign language recognition using graph and general deep neural network based on large scale dataset

ASM Miah, MAM Hasan, S Nishimura, J Shin - IEEE Access, 2024 - ieeexplore.ieee.org
Sign Language Recognition (SLR) represents a revolutionary technology aiming to
establish communication between hearing impaired and non-hearing impaired …

Hand gesture recognition for characters understanding using convex Hull landmarks and geometric features

H Ansar, N Al Mudawi, SS Alotaibi, A Alazeb… - IEEE …, 2023 - ieeexplore.ieee.org
With the latest advancements, hand gesture recognition is becoming an effective way of
communication and gaining popularity from a research point of view. Hearing impaired …

[HTML][HTML] Recursive feature elimination for improving learning points on hand-sign recognition

RC Chen, WE Manongga, C Dewi - Future Internet, 2022 - mdpi.com
Hand gestures and poses allow us to perform non-verbal communication. Sign language is
becoming more important with the increase in the number of deaf and hard-of-hearing …