AIMC Topic: Skeleton

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Skeleton Reconstruction Using Generative Adversarial Networks for Human Activity Recognition Under Occlusion.

Sensors (Basel, Switzerland) Mar 4, 2025
Recognizing human activities from motion data is a complex task in computer vision, involving the recognition of human behaviors from sequences of 3D motion data. These activities encompass successive body part movements, interactions with objects, o...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Skeleton Generative Adversarial Networks Pattern Recognition, Automated Human Activities Humans
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On the Evaluation of Diverse Vision Systems towards Detecting Human Pose in Collaborative Robot Applications.

Sensors (Basel, Switzerland) Jan 17, 2024
Tracking human operators working in the vicinity of collaborative robots can improve the design of safety architecture, ergonomics, and the execution of assembly tasks in a human-robot collaboration scenario. Three commercial spatial computation kits...
Ergonomics Optical Devices Skeleton Software Robotics Humans
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Skeleton-Based Human Motion Prediction With Privileged Supervision.

IEEE transactions on neural networks and learning systems Nov 30, 2023
Existing supervised methods have achieved impressive performance in forecasting skeleton-based human motion. However, they often rely on action class labels in both training and inference phases. In practice, it could be a burden to request action cl...
Algorithms Skeleton Humans Neural Networks, Computer
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Human Interaction Classification in Sliding Video Windows Using Skeleton Data Tracking and Feature Extraction.

Sensors (Basel, Switzerland) Jul 10, 2023
A "long short-term memory" (LSTM)-based human activity classifier is presented for skeleton data estimated in video frames. A strong feature engineering step precedes the deep neural network processing. The video was analyzed in short-time chunks cre...
Software Skeleton Humans Neural Networks, Computer
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Deep Learning for Human Activity Recognition on 3D Human Skeleton: Survey and Comparative Study.

Sensors (Basel, Switzerland) May 27, 2023
Human activity recognition (HAR) is an important research problem in computer vision. This problem is widely applied to building applications in human-machine interactions, monitoring, etc. Especially, HAR based on the human skeleton creates intuitiv...
Databases, Factual Deep Learning Human Activities Skeleton Humans Neural Networks, Computer
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Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review.

Computers in biology and medicine Mar 31, 2023
Performing prescribed physical exercises during home-based rehabilitation programs plays an important role in regaining muscle strength and improving balance for people with different physical disabilities. However, patients attending these programs ...
Humans Artificial Intelligence Exercise Skeleton Monitoring, Physiologic Vision, Ocular
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Multi-View Human Action Recognition Using Skeleton Based-FineKNN with Extraneous Frame Scrapping Technique.

Sensors (Basel, Switzerland) Mar 2, 2023
Human action recognition (HAR) is one of the most active research topics in the field of computer vision. Even though this area is well-researched, HAR algorithms such as 3D Convolution Neural Networks (CNN), Two-stream Networks, and CNN-LSTM (Long S...
Skeleton Neural Networks, Computer Algorithms Pattern Recognition, Automated Humans Human Activities
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BERT for Activity Recognition Using Sequences of Skeleton Features and Data Augmentation with GAN.

Sensors (Basel, Switzerland) Jan 26, 2023
Recently, the scientific community has placed great emphasis on the recognition of human activity, especially in the area of health and care for the elderly. There are already practical applications of activity recognition and unusual conditions that...
Skeleton Neural Networks, Computer Machine Learning Aged Humans Algorithms Posture
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Deep-Learning-Based ADHD Classification Using Children's Skeleton Data Acquired through the ADHD Screening Game.

Sensors (Basel, Switzerland) Dec 26, 2022
The identification of attention deficit hyperactivity disorder (ADHD) in children, which is increasing every year worldwide, is very important for early diagnosis and treatment. However, since ADHD is not a simple disease that can be diagnosed with a...
Attention Deficit Disorder with Hyperactivity Deep Learning Humans Musculoskeletal System Child Skeleton
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Skeleton-Based Abnormal Behavior Detection Using Secure Partitioned Convolutional Neural Network Model.

IEEE journal of biomedical and health informatics Dec 7, 2022
Theabnormal behavior detection is the vital for evaluation of daily-life health status of the patient with cognitive impairment. Previous studies about abnormal behavior detection indicate that convolution neural network (CNN)-based computer vision o...
Privacy Neural Networks, Computer Humans Computer Security Skeleton
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