Gesture Recognition Based on Deep Learning: A Review

M Wu - EAI Endorsed Transactions on e-Learning, 2024 - publications.eai.eu
Gesture recognition is an important and inevitable technology in modern times, its
appearance and improvement greatly improve the convenience of people's lives, but also …

DeReFNet: Dual-stream Dense Residual Fusion Network for static hand gesture recognition

JP Sahoo, SP Sahoo, S Ari, SK Patra - Displays, 2023 - Elsevier
Vision-based hand gesture recognition (HGR) system provides the most effective and
natural way of interaction between humans and machines. However, the recognition …

Hand gesture recognition using densely connected deep residual network and channel attention module for mobile robot control

JP Sahoo, SP Sahoo, S Ari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Navigating a mobile robot in an indoor or outdoor environment is an interesting research
area for human–robot collaboration (HRC). In such a scenario, hand gesture offers some …

FGDSNet: A Lightweight Hand Gesture Recognition Network for Human Robot Interaction

G Zhou, Z Cui, J Qi - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
Computer vision-based gesture recognition methods play a significant role in robot visual
gesture interaction. since of low accuracy leading by insuffcient feature representation and …

A hand gesture-operated system for rehabilitation using an end-to-end detection framework

HPJ Dutta, MK Bhuyan, DR Neog… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this article, we propose a hand gesture-operated system as an AI application to relieve
discomfort and restore function in hand and arm movements caused by injuries and nerve …

Patient assistance system based on hand gesture recognition

HPJ Dutta, MK Bhuyan, DR Neog… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
We propose a two-stage hand gesture recognition architecture to support a patient
assistance system. Some medical conditions limit mobility, and the patient must rely on …

Design of Human-Computer Interaction Gesture Tracking Model based on Improved PSO and KCF Algorithms

D He, Y Yang, R Wu - IEEE Access, 2024 - ieeexplore.ieee.org
The detection and tracking of gesture targets is an important aspect in the dynamic gesture
recognition. To meet the accuracy and speed requirements of human-computer interaction …

Hand Segmentation With Dense Dilated U-Net and Structurally Incoherent Nonnegative Matrix Factorization-Based Gesture Recognition

K Roy, RR Sahay - IEEE Transactions on Human-Machine …, 2024 - ieeexplore.ieee.org
Robust segmentation of hands in a cluttered environment for hand gesture recognition has
remained a challenge in computer vision. In this work, a two-stage gesture recognition …

VRFNet-ASLiT: Fused Deep CNN and Adaptive Super Resolution Transform Based Hand Gesture Recognition

R Kushwaha, M Kumar, D Kumar - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Hand gesture recognition plays a vital role in human-computer interaction, offering a natural
and intuitive means of communication. However, vision-based hand gesture recognition is …

Few-shot learning with pre-trained layers integration applied to hand gesture recognition for disabled people

M ELBAHRI, N TALEB, SAEM ARDJOUN… - Applied Computer …, 2024 - ph.pollub.pl
Employing vision-based hand gesture recognition for the interaction and communication of
disabled individuals is highly beneficial. The hands and gestures of this category of people …