A structured and methodological review on vision-based hand gesture recognition system

F Al Farid, N Hashim, J Abdullah, MR Bhuiyan… - Journal of …, 2022 - mdpi.com
Researchers have recently focused their attention on vision-based hand gesture
recognition. However, due to several constraints, achieving an effective vision-driven hand …

An integrated mediapipe-optimized GRU model for Indian sign language recognition

B Subramanian, B Olimov, SM Naik, S Kim, KH Park… - Scientific Reports, 2022 - nature.com
Sign language recognition is challenged by problems, such as accurate tracking of hand
gestures, occlusion of hands, and high computational cost. Recently, it has benefited from …

CNN based feature extraction and classification for sign language

AA Barbhuiya, RK Karsh, R Jain - Multimedia Tools and Applications, 2021 - Springer
Hand gesture is one of the most prominent ways of communication since the beginning of
the human era. Hand gesture recognition extends human-computer interaction (HCI) more …

Adversarial unsupervised domain adaptation for hand gesture recognition using thermal images

A Dayal, M Aishwarya, S Abhilash… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Hand gesture recognition has a wide range of applications, including in the automotive and
industrial sectors, health assistive systems, authentication, and so on. Thermal images are …

Sign language identification and recognition: A comparative study

A Sultan, W Makram, M Kayed, AA Ali - Open Computer Science, 2022 - degruyter.com
Sign Language (SL) is the main language for handicapped and disabled people. Each
country has its own SL that is different from other countries. Each sign in a language is …

Smart healthcare hand gesture recognition using CNN-based detector and deep belief network

M Alonazi, H Ansar, N Al Mudawi, SS Alotaibi… - IEEE …, 2023 - ieeexplore.ieee.org
Gesture recognition in dynamic images is challenging in computer vision, automation and
medical field. Hand gesture tracking and recognition between both human and computer …

Hand gesture recognition via enhanced densely connected convolutional neural network

YS Tan, KM Lim, CP Lee - Expert Systems with Applications, 2021 - Elsevier
Hand gesture recognition (HGR) serves as a fundamental way of communication and
interaction for human being. While HGR can be applied in human computer interaction (HCI) …

Applying deep neural networks for the automatic recognition of sign language words: A communication aid to deaf agriculturists

A Venugopalan, R Reghunadhan - Expert Systems with Applications, 2021 - Elsevier
One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …

DenseNet-II: An improved deep convolutional neural network for melanoma cancer detection

N Girdhar, A Sinha, S Gupta - Soft computing, 2023 - Springer
Research in the field of medicine and relevant studies evince that melanoma is one of the
deadliest cancers. It defines precisely that the condition develops due to uncontrolled growth …

Dynamic hand gesture recognition using 3D-CNN and LSTM networks

M Ur Rehman, F Ahmed… - Computers …, 2021 - napier-repository.worktribe.com
Recognition of dynamic hand gestures in real-time is a difficult task because the system can
never know when or from where the gesture starts and ends in a video stream. Many …