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 …
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
Vision-based hand gesture recognition (HGR) system provides the most effective and
natural way of interaction between humans and machines. However, the recognition …
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
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 …
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 …
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
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 …
discomfort and restore function in hand and arm movements caused by injuries and nerve …
Patient assistance system based on hand gesture recognition
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 …
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 …
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
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 …
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
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 …
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
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 …
disabled individuals is highly beneficial. The hands and gestures of this category of people …