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 …
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 …
STST: Spatial-temporal specialized transformer for skeleton-based action recognition
Skeleton-based action recognition has been widely investigated considering their strong
adaptability to dynamic circumstances and complicated backgrounds. To recognize different …
adaptability to dynamic circumstances and complicated backgrounds. To recognize different …
[HTML][HTML] Efficient visual recognition: A survey on recent advances and brain-inspired methodologies
Visual recognition is currently one of the most important and active research areas in
computer vision, pattern recognition, and even the general field of artificial intelligence. It …
computer vision, pattern recognition, and even the general field of artificial intelligence. It …
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 …
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 …
An efficient pointlstm for point clouds based gesture recognition
Point clouds contain rich spatial information, which provides complementary cues for
gesture recognition. In this paper, we formulate gesture recognition as an irregular …
gesture recognition. In this paper, we formulate gesture recognition as an irregular …
Efficient skeleton-based action recognition via multi-stream depthwise separable convolutional neural network
Skeleton-based human action recognition has attracted considerable attention and
achieved great success in several engineering fields, which is also one of the most active …
achieved great success in several engineering fields, which is also one of the most active …
Construct dynamic graphs for hand gesture recognition via spatial-temporal attention
We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand
gesture recognition. The key idea is to first construct a fully-connected graph from a hand …
gesture recognition. The key idea is to first construct a fully-connected graph from a hand …
Dynamic hand gesture recognition based on 3D hand pose estimation for human–robot interaction
Dynamic hand gesture recognition is a challenging problem in the area of hand-based
human–robot interaction (HRI), such as issues of a complex environment and dynamic …
human–robot interaction (HRI), such as issues of a complex environment and dynamic …