AIMC Topic: Skeleton

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Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Sep 14, 2021
We propose a multiscale spatio-temporal graph neural network (MST-GNN) to predict the future 3D skeleton-based human poses in an action-category-agnostic manner. The core of MST-GNN is a multiscale spatio-temporal graph that explicitly models the rel...
Skeleton Humans Algorithms Neural Networks, Computer Motion
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Skeleton-Based Action Recognition Based on Distance Vector and Multihigh View Adaptive Networks.

Computational intelligence and neuroscience Aug 18, 2021
Skeleton-based human action recognition has attracted much attention in the field of computer vision. Most of the previous studies are based on fixed skeleton graphs so that only the local physical dependencies among joints can be captured, resulting...
Recognition, Psychology Skeleton Humans Neural Networks, Computer Algorithms Human Activities
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MSST-RT: Multi-Stream Spatial-Temporal Relative Transformer for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland) Aug 7, 2021
Skeleton-based human action recognition has made great progress, especially with the development of a graph convolution network (GCN). The most important work is ST-GCN, which automatically learns both spatial and temporal patterns from skeleton sequ...
Human Activities Skeleton Neural Networks, Computer Motion Humans
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Student Behavior Recognition System for the Classroom Environment Based on Skeleton Pose Estimation and Person Detection.

Sensors (Basel, Switzerland) Aug 6, 2021
Human action recognition has attracted considerable research attention in the field of computer vision, especially for classroom environments. However, most relevant studies have focused on one specific behavior of students. Therefore, this paper pro...
Humans Human Activities Recognition, Psychology Skeleton Neural Networks, Computer Students
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Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network.

Computational intelligence and neuroscience Jul 20, 2021
The use of artificial intelligence technology to analyze human behavior is one of the key research topics in the world. In order to detect and analyze the characteristics of human body behavior after training, a detection model combined with a convol...
Humans Neural Networks, Computer Sports Skeleton Artificial Intelligence Motion
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Analysis of Stadium Operation Risk Warning Model Based on Deep Confidence Neural Network Algorithm.

Computational intelligence and neuroscience Jul 5, 2021
In this paper, a deep confidence neural network algorithm is used to design and deeply analyze the risk warning model for stadium operation. Many factors, such as video shooting angle, background brightness, diversity of features, and the relationshi...
Humans Models, Anatomic Neural Networks, Computer Skeleton Recognition, Psychology Algorithms
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Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin's lymphoma patients staged with FDG-PET/CT.

Scientific reports May 17, 2021
To develop an artificial intelligence (AI)-based method for the detection of focal skeleton/bone marrow uptake (BMU) in patients with Hodgkin's lymphoma (HL) undergoing staging with FDG-PET/CT. The results of the AI in a separate test group were comp...
Adult Male Aged, 80 and over Young Adult Child Multimodal Imaging Positron Emission Tomography Computed Tomography Middle Aged Adolescent Humans Neural Networks, Computer Female Aged Artificial Intelligence Fluorodeoxyglucose F18 Hodgkin Disease Musculoskeletal System Skeleton Biological Transport Radiopharmaceuticals Biopsy Bone Marrow
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Using Direct Acyclic Graphs to Enhance Skeleton-Based Action Recognition with a Linear-Map Convolution Neural Network.

Sensors (Basel, Switzerland) Apr 29, 2021
Research on the human activity recognition could be utilized for the monitoring of elderly people living alone to reduce the cost of home care. Video sensors can be easily deployed in the different zones of houses to achieve monitoring. The goal of t...
Human Activities Skeleton Databases, Factual Aged Neural Networks, Computer Algorithms Humans
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Hypergraph Neural Network for Skeleton-Based Action Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 26, 2021
Recently, skeleton-based human action recognition has attracted a lot of research attention in the field of computer vision. Graph convolutional networks (GCNs), which model the human body skeletons as spatial-temporal graphs, have shown excellent re...
Humans Algorithms Imaging, Three-Dimensional Neural Networks, Computer Movement Human Activities Skeleton
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Shallow Graph Convolutional Network for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland) Jan 11, 2021
Graph convolutional networks (GCNs) have brought considerable improvement to the skeleton-based action recognition task. Existing GCN-based methods usually use the fixed spatial graph size among all the layers. It severely affects the model's abiliti...
Pattern Recognition, Automated Skeleton Humans Neural Networks, Computer
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