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Human pose estimation using deep learning: review, methodologies, progress and future research directions
Human pose estimation (HPE) has developed over the past decade into a vibrant field for
research with a variety of real-world applications like 3D reconstruction, virtual testing and re …
research with a variety of real-world applications like 3D reconstruction, virtual testing and re …
Markerless multi-view 3D human pose estimation: A survey
Abstract 3D human pose estimation aims to reconstruct the human skeleton of all the
individuals in a scene by detecting several body joints. The creation of accurate and efficient …
individuals in a scene by detecting several body joints. The creation of accurate and efficient …
[HTML][HTML] Feasibility of 3D body tracking from monocular 2D video feeds in musculoskeletal telerehabilitation
C Clemente, G Chambel, DCF Silva, AM Montes… - Sensors, 2023 - mdpi.com
Musculoskeletal conditions affect millions of people globally; however, conventional
treatments pose challenges concerning price, accessibility, and convenience. Many …
treatments pose challenges concerning price, accessibility, and convenience. Many …
Measurement of aircraft ground roll distance during takeoff and landing on a grass runway
The aim of this study was to develop a method for airplane ground roll distance
measurement. This method is based on measurements of aircraft accelerations, magnetic …
measurement. This method is based on measurements of aircraft accelerations, magnetic …
[HTML][HTML] Human Posture Estimation: A Systematic Review on Force-Based Methods—Analyzing the Differences in Required Expertise and Result Benefits for Their …
Force-based human posture estimation (FPE) provides a valuable alternative when camera-
based human motion capturing is impractical. It offers new opportunities for sensor …
based human motion capturing is impractical. It offers new opportunities for sensor …
Learning 3d human pose estimation from dozens of datasets using a geometry-aware autoencoder to bridge between skeleton formats
Deep learning-based 3D human pose estimation performs best when trained on large
amounts of labeled data, making combined learning from many datasets an important …
amounts of labeled data, making combined learning from many datasets an important …
Analytical model of action fusion in sports tennis teaching by convolutional neural networks
H Li, H Guo, H Huang - Computational Intelligence and …, 2022 - Wiley Online Library
In order to improve the effectiveness of tennis teaching and enhance students'
understanding and mastery of tennis standard movements, based on the three‐dimensional …
understanding and mastery of tennis standard movements, based on the three‐dimensional …
[HTML][HTML] An improved mixture density network for 3D human pose estimation with ordinal ranking
Estimating accurate 3D human poses from 2D images remains a challenge due to the lack
of explicit depth information in 2D data. This paper proposes an improved mixture density …
of explicit depth information in 2D data. This paper proposes an improved mixture density …
[HTML][HTML] Pointscnet: Point cloud structure and correlation learning based on space-filling curve-guided sampling
Geometrical structures and the internal local region relationship, such as symmetry, regular
array, junction, etc., are essential for understanding a 3D shape. This paper proposes a …
array, junction, etc., are essential for understanding a 3D shape. This paper proposes a …
Detection of Dangerous Human Behavior by Using Optical Flow and Hybrid Deep Learning
Dangerous human behavior in the driving sense may cause traffic accidents and even
cause economic losses and casualties. Accurate identification of dangerous human …
cause economic losses and casualties. Accurate identification of dangerous human …