AIMC Topic: Skeleton

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Improving skeleton algorithm for helping Caenorhabditis elegans trackers.

Scientific reports Dec 17, 2020
One of the main problems when monitoring Caenorhabditis elegans nematodes (C. elegans) is tracking their poses by automatic computer vision systems. This is a challenge given the marked flexibility that their bodies present and the different poses th...
Image Processing, Computer-Assisted Caenorhabditis elegans Models, Anatomic Skeleton Algorithms Animals Artificial Intelligence
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Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland) Dec 13, 2020
Spatiotemporal graph convolution has made significant progress in skeleton-based action recognition in recent years. Most of the existing graph convolution methods take all the joints of the human skeleton as the overall modeling graph, ignoring the ...
Skeleton Humans Neural Networks, Computer
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On the robustness of skeleton detection against adversarial attacks.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2020
Human perception of an object's skeletal structure is particularly robust to diverse perturbations of shape. This skeleton representation possesses substantial advantages for parts-based and invariant shape encoding, which is essential for object rec...
Pattern Recognition, Automated Biometric Identification Humans Skeleton Pattern Recognition, Visual Deep Learning
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Enhanced Spatial and Extended Temporal Graph Convolutional Network for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland) Sep 15, 2020
In the skeleton-based human action recognition domain, the spatial-temporal graph convolution networks (ST-GCNs) have made great progress recently. However, they use only one fixed temporal convolution kernel, which is not enough to extract the tempo...
Movement Skeleton Neural Networks, Computer Algorithms Humans
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A Hierarchical Learning Approach for Human Action Recognition.

Sensors (Basel, Switzerland) Sep 1, 2020
In the domain of human action recognition, existing works mainly focus on using RGB, depth, skeleton and infrared data for analysis. While these methods have the benefit of being non-invasive, they can only be used within limited setups, are prone to...
Human Activities Skeleton Humans Algorithms Deep Learning Sports
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Prediction of Human Activities Based on a New Structure of Skeleton Features and Deep Learning Model.

Sensors (Basel, Switzerland) Sep 1, 2020
The recognition of human activities is usually considered to be a simple procedure. Problems occur in complex scenes involving high speeds. Activity prediction using Artificial Intelligence (AI) by numerical analysis has attracted the attention of se...
Humans Neural Networks, Computer Deep Learning Human Activities Artificial Intelligence Aged Skeleton
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GAS-GCN: Gated Action-Specific Graph Convolutional Networks for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland) Jun 21, 2020
Skeleton-based action recognition has achieved great advances with the development of graph convolutional networks (GCNs). Many existing GCNs-based models only use the fixed hand-crafted adjacency matrix to describe the connections between human body...
Humans Neural Networks, Computer Datasets as Topic Joints Skeleton
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Real-Time Human Action Recognition with a Low-Cost RGB Camera and Mobile Robot Platform.

Sensors (Basel, Switzerland) May 19, 2020
Human action recognition is an important research area in the field of computer vision that can be applied in surveillance, assisted living, and robotic systems interacting with people. Although various approaches have been widely used, recent studie...
Skeleton Movement Human Activities Algorithms Joints Robotics Humans Photography Neural Networks, Computer
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A Human Activity Recognition System Using Skeleton Data from RGBD Sensors.

Computational intelligence and neuroscience Mar 16, 2016
The aim of Active and Assisted Living is to develop tools to promote the ageing in place of elderly people, and human activity recognition algorithms can help to monitor aged people in home environments. Different types of sensors can be used to addr...
Human Activities Aged Skeleton Male Humans Accelerometry Support Vector Machine Algorithms Joints Machine Learning Pattern Recognition, Automated Female
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Deep learning-based activity recognition and fine motor identification using 2D skeletons of cynomolgus monkeys.

Zoological research Sep 18, 2023
Video-based action recognition is becoming a vital tool in clinical research and neuroscientific study for disorder detection and prediction. However, action recognition currently used in non-human primate (NHP) research relies heavily on intense man...
Phenotype Mutation Animals Deep Learning Macaca fascicularis Skeleton
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