AIMC Topic: Skeleton

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An Intelligent System for Detecting Abnormal Behavior in Students Based on the Human Skeleton and Deep Learning.

Computational intelligence and neuroscience Jun 27, 2022
With the use of an intelligent video system, this research provides a method for detecting abnormal behavior based on the human skeleton and deep learning. To begin with, the spatiotemporal features of human bones are extracted through iterative trai...
Deep Learning Skeleton Students Neural Networks, Computer Algorithms Humans
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Prediction of microvascular invasion in hepatocellular carcinoma with expert-inspiration and skeleton sharing deep learning.

Liver international : official journal of the International Association for the Study of the Liver May 5, 2022
BACKGROUND AND AIMS: Radiological prediction of microvascular invasion (MVI) of hepatocellular carcinoma (HCC) is essential but few models were clinically implemented because of limited interpretability and generalizability.
Radiopharmaceuticals Skeleton Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Neoplasm Invasiveness Humans Retrospective Studies
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Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction.

IEEE transactions on pattern analysis and machine intelligence May 5, 2022
Human motion prediction aims to generate future motions based on the observed human motions. Witnessing the success of Recurrent Neural Networks (RNN) in modeling sequential data, recent works utilize RNNs to model human-skeleton motions on the obser...
Humans Neural Networks, Computer Attention Skeleton Algorithms Motion
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Adversarial Attack on Skeleton-Based Human Action Recognition.

IEEE transactions on neural networks and learning systems Apr 4, 2022
Deep learning models achieve impressive performance for skeleton-based human action recognition. Graph convolutional networks (GCNs) are particularly suitable for this task due to the graph-structured nature of skeleton data. However, the robustness ...
Pattern Recognition, Automated Recognition, Psychology Humans Neural Networks, Computer Skeleton
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Skeleton-Based Spatio-Temporal U-Network for 3D Human Pose Estimation in Video.

Sensors (Basel, Switzerland) Mar 28, 2022
Despite the great progress in 3D pose estimation from videos, there is still a lack of effective means to extract spatio-temporal features of different granularity from complex dynamic skeleton sequences. To tackle this problem, we propose a novel, s...
Data Compression Skeleton Semantics Pressure Neural Networks, Computer Humans
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An efficient self-attention network for skeleton-based action recognition.

Scientific reports Mar 8, 2022
There has been significant progress in skeleton-based action recognition. Human skeleton can be naturally structured into graph, so graph convolution networks have become the most popular method in this task. Most of these state-of-the-art methods op...
Recognition, Psychology Skeleton Algorithms Humans Neural Networks, Computer
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3DMesh-GAR: 3D Human Body Mesh-Based Method for Group Activity Recognition.

Sensors (Basel, Switzerland) Feb 14, 2022
Group activity recognition is a prime research topic in video understanding and has many practical applications, such as crowd behavior monitoring, video surveillance, etc. To understand the multi-person/group action, the model should not only identi...
Human Activities Neural Networks, Computer Surgical Mesh Skeleton Human Body Humans
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Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network.

Sensors (Basel, Switzerland) Jan 23, 2022
In this paper, a new algorithm for extracting the laser fringe center is proposed. Based on a deep learning skeleton extraction network, the laser stripe center can be extracted quickly and accurately. Skeleton extraction is the process of reducing t...
Skeleton Algorithms Image Processing, Computer-Assisted Deep Learning Lasers
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Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland) Oct 12, 2021
Graph Convolutional Networks (GCNs) have attracted a lot of attention and shown remarkable performance for action recognition in recent years. For improving the recognition accuracy, how to build graph structure adaptively, select key frames and extr...
Human Activities Recognition, Psychology Neural Networks, Computer Skeleton Humans
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A magnetically controlled soft miniature robotic fish with a flexible skeleton inspired by zebrafish.

Bioinspiration & biomimetics Sep 27, 2021
The untethered miniature swimming robot actuation and control is difficult as the robot size becomes smaller, due to limitations of feasible miniaturized on-board components. Nature provides much inspiration for developing miniature robot. Here, a ne...
Zebrafish Robotics Animals Swimming Robotic Surgical Procedures Skeleton
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