Computer vision-based hand gesture recognition for human-robot interaction: a review
J Qi, L Ma, Z Cui, Y Yu - Complex & Intelligent Systems, 2024 - Springer
As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …
(HRI) has had a positive impact on the development of robotics. Thus, there has been …
Methods, databases and recent advancement of vision-based hand gesture recognition for hci systems: A review
Hand gesture recognition is viewed as a significant field of exploration in computer vision
with assorted applications in the human–computer communication (HCI) community. The …
with assorted applications in the human–computer communication (HCI) community. The …
Decoupled spatial-temporal attention network for skeleton-based action-gesture recognition
Dynamic skeletal data, represented as the 2D/3D coordinates of human joints, has been
widely studied for human action recognition due to its high-level semantic information and …
widely studied for human action recognition due to its high-level semantic information and …
Convolutional neural networks and long short-term memory for skeleton-based human activity and hand gesture recognition
In this work, we address human activity and hand gesture recognition problems using 3D
data sequences obtained from full-body and hand skeletons, respectively. To this aim, we …
data sequences obtained from full-body and hand skeletons, respectively. To this aim, we …
First-person hand action benchmark with rgb-d videos and 3d hand pose annotations
G Garcia-Hernando, S Yuan… - Proceedings of the …, 2018 - openaccess.thecvf.com
In this work we study the use of 3D hand poses to recognize first-person dynamic hand
actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences …
actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences …
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 …
Temporal decoupling graph convolutional network for skeleton-based gesture recognition
Skeleton-based gesture recognition methods have achieved high success using Graph
Convolutional Network (GCN), which commonly uses an adjacency matrix to model the …
Convolutional Network (GCN), which commonly uses an adjacency matrix to model the …
Make skeleton-based action recognition model smaller, faster and better
Although skeleton-based action recognition has achieved great success in recent years,
most of the existing methods may suffer from a large model size and slow execution speed …
most of the existing methods may suffer from a large model size and slow execution speed …
Pose guided structured region ensemble network for cascaded hand pose estimation
Hand pose estimation from single depth images is an essential topic in computer vision and
human computer interaction. Despite recent advancements in this area promoted by …
human computer interaction. Despite recent advancements in this area promoted by …
Exploiting recurrent neural networks and leap motion controller for the recognition of sign language and semaphoric hand gestures
Hand gesture recognition is still a topic of great interest for the computer vision community.
In particular, sign language and semaphoric hand gestures are two foremost areas of …
In particular, sign language and semaphoric hand gestures are two foremost areas of …