Human action recognition from various data modalities: A review
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …
each action. It has a wide range of applications, and therefore has been attracting increasing …
A survey on 3d skeleton-based action recognition using learning method
Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …
attention within the computer vision community, owing to the inherent advantages offered by …
Constructing stronger and faster baselines for skeleton-based action recognition
One essential problem in skeleton-based action recognition is how to extract discriminative
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
Stronger, faster and more explainable: A graph convolutional baseline for skeleton-based action recognition
One essential problem in skeleton-based action recognition is how to extract discriminative
features over all skeleton joints. However, the complexity of the State-Of-The-Art (SOTA) …
features over all skeleton joints. However, the complexity of the State-Of-The-Art (SOTA) …
Graph convolutional neural network for human action recognition: A comprehensive survey
Video-based human action recognition is one of the most important and challenging areas
of research in the field of computer vision. Human action recognition has found many …
of research in the field of computer vision. Human action recognition has found many …
Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos
Parkinson's disease (PD) is a brain disorder that primarily affects motor function, leading to
slow movement, tremor, and stiffness, as well as postural instability and difficulty with …
slow movement, tremor, and stiffness, as well as postural instability and difficulty with …
Enabling collaborative assembly between humans and robots using a digital twin system
Z Zhang, Y Ji, D Tang, J Chen, C Liu - Robotics and Computer-Integrated …, 2024 - Elsevier
Human–robot collaboration (HRC) systems are intelligent systems that guide robots to
collaborate with humans based on a cognitive understanding of human intention, ensuring …
collaborate with humans based on a cognitive understanding of human intention, ensuring …
An elliptical modeling supported system for human action deep recognition over aerial surveillance
The advancement of computer vision technology has led to the development of
sophisticated algorithms capable of accurately recognizing human actions from red-green …
sophisticated algorithms capable of accurately recognizing human actions from red-green …
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity
Parkinson's disease (PD) is a progressive neurological disorder primarily affecting motor
function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. The …
function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. The …
Psumnet: Unified modality part streams are all you need for efficient pose-based action recognition
Pose-based action recognition is predominantly tackled by approaches which treat the input
skeleton in a monolithic fashion, ie joints in the pose tree are processed as a whole …
skeleton in a monolithic fashion, ie joints in the pose tree are processed as a whole …