Hand gesture recognition based on computer vision: a review of techniques
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 …
such as communication between deaf-mute people, robot control, human–computer …
Sign language recognition: A deep survey
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 …
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
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 …
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 …
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
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 …
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 …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
Hand sign language recognition using multi-view hand skeleton
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 …
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
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 …
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
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 …
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
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 …
has been observed. Thus, significant progress has been made in the field of hand detection …