Hand gesture recognition based on computer vision: a review of techniques

M Oudah, A Al-Naji, J Chahl - journal of Imaging, 2020 - mdpi.com
Hand gestures are a form of nonverbal communication that can be used in several fields
such as communication between deaf-mute people, robot control, human–computer …

Sign language recognition: A deep survey

R Rastgoo, K Kiani, S Escalera - Expert Systems with Applications, 2021 - Elsevier
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …

Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects

MM Islam, S Nooruddin, F Karray… - Computers in biology and …, 2022 - Elsevier
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

Hand gesture classification using a novel CNN-crow search algorithm

TR Gadekallu, M Alazab, R Kaluri… - Complex & Intelligent …, 2021 - Springer
Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …

Dynamic hand gesture recognition using multi-branch attention based graph and general deep learning model

ASM Miah, MAM Hasan, J Shin - IEEE Access, 2023 - ieeexplore.ieee.org
The dynamic hand skeleton data have become increasingly attractive to widely studied for
the recognition of hand gestures that contain 3D coordinates of hand joints. Many …

Deep learning for sign language recognition: Current techniques, benchmarks, and open issues

M Al-Qurishi, T Khalid, R Souissi - IEEE Access, 2021 - ieeexplore.ieee.org
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Hand sign language recognition using multi-view hand skeleton

R Rastgoo, K Kiani, S Escalera - Expert Systems with Applications, 2020 - Elsevier
Hand sign language recognition from video is a challenging research area in computer
vision, which performance is affected by hand occlusion, fast hand movement, illumination …

A neural network based on SPD manifold learning for skeleton-based hand gesture recognition

XS Nguyen, L Brun, O Lézoray… - Proceedings of the …, 2019 - openaccess.thecvf.com
This paper proposes a new neural network based on SPD manifold learning for skeleton-
based hand gesture recognition. Given the stream of hand's joint positions, our approach …

An experimental analysis of various machine learning algorithms for hand gesture recognition

S Bhushan, M Alshehri, I Keshta, AK Chakraverti… - Electronics, 2022 - mdpi.com
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …

Hand gesture recognition with focus on leap motion: An overview, real world challenges and future directions

NM Bhiri, S Ameur, I Alouani, MA Mahjoub… - Expert Systems with …, 2023 - Elsevier
In the recent years, a steady growth of Hand Gesture Recognition (HGR) based applications
has been observed. Thus, significant progress has been made in the field of hand detection …