AIMC Topic: Human Activities

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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 Algorithms Humans Skeleton Neural Networks, Computer Human Activities
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Dynamic graph convolutional networks with attention mechanism for rumor detection on social media.

PloS one Aug 18, 2021
Social media has become an ideal platform for the propagation of rumors, fake news, and misinformation. Rumors on social media not only mislead online users but also affect the real world immensely. Thus, detecting the rumors and preventing their spr...
Models, Theoretical Humans Communication Recognition, Psychology Social Media Information Dissemination Neural Networks, Computer Disinformation 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...
Humans Human Activities Skeleton Neural Networks, Computer Motion
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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...
Recognition, Psychology Skeleton Humans Neural Networks, Computer Students Human Activities
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Daily Human Activity Recognition Using Non-Intrusive Sensors.

Sensors (Basel, Switzerland) Aug 4, 2021
In recent years, Artificial Intelligence Technologies (AIT) have been developed to improve the quality of life of the elderly and their safety in the home. This work focuses on developing a system capable of recognising the most usual activities in t...
Humans Neural Networks, Computer Quality of Life Artificial Intelligence Activities of Daily Living Human Activities Aged
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IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 21, 2021
Human-Object Interaction (HOI) Detection is an important task to understand how humans interact with objects. Most of the existing works treat this task as an exhaustive triplet 〈 human, verb, object 〉 classification problem. In this paper, we decomp...
Image Processing, Computer-Assisted Humans Semantics Human Activities Databases, Factual Animals Neural Networks, Computer Algorithms
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INIM: Inertial Images Construction with Applications to Activity Recognition.

Sensors (Basel, Switzerland) Jul 13, 2021
Human activity recognition aims to classify the user activity in various applications like healthcare, gesture recognition and indoor navigation. In the latter, smartphone location recognition is gaining more attention as it enhances indoor positioni...
Human Activities Algorithms Smartphone Humans Neural Networks, Computer Machine Learning
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Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones.

Scientific reports Jul 12, 2021
The emergence of digital technologies such as smartphones in healthcare applications have demonstrated the possibility of developing rich, continuous, and objective measures of multiple sclerosis (MS) disability that can be administered remotely and ...
Neural Networks, Computer Deep Learning Humans Human Activities Smartphone Multiple Sclerosis
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Human Interaction Understanding With Joint Graph Decomposition and Node Labeling.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 12, 2021
The task of human interaction understanding involves both recognizing the action of each individual in the scene and decoding the interaction relationship among people, which is useful to a series of vision applications such as camera surveillance, v...
Human Activities Image Processing, Computer-Assisted Humans Machine Learning Video Recording Algorithms
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ASNet: Auto-Augmented Siamese Neural Network for Action Recognition.

Sensors (Basel, Switzerland) Jul 10, 2021
Human action recognition methods in videos based on deep convolutional neural networks usually use random cropping or its variants for data augmentation. However, this traditional data augmentation approach may generate many non-informative samples (...
Recognition, Psychology Neural Networks, Computer Learning Markov Chains Human Activities Humans
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