Deep learning-based human pose estimation: A survey
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
[HTML][HTML] Graph-based deep learning for medical diagnosis and analysis: past, present and future
With the advances of data-driven machine learning research, a wide variety of prediction
problems have been tackled. It has become critical to explore how machine learning and …
problems have been tackled. It has become critical to explore how machine learning and …
The devil is in the details: Delving into unbiased data processing for human pose estimation
J Huang, Z Zhu, F Guo… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Recently, the leading performance of human pose estimation is dominated by top-down
methods. Being a fundamental component in training and inference, data processing has …
methods. Being a fundamental component in training and inference, data processing has …
Detecting human activity types from 3D posture data using deep learning models
A Çalışkan - Biomedical signal processing and control, 2023 - Elsevier
Human action and posture identification are two of the most difficult challenges in
computerized systems. Categorization of these tasks is particularly relevant to the health and …
computerized systems. Categorization of these tasks is particularly relevant to the health and …
A comprehensive survey on human pose estimation approaches
The human pose estimation is a significant issue that has been taken into consideration in
the computer vision network for recent decades. It is a vital advance toward understanding …
the computer vision network for recent decades. It is a vital advance toward understanding …
Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities
L Jiang, C Lee, D Teotia, S Ostadabbas - Computer Vision and Image …, 2022 - Elsevier
Over the past few years, research on animal pose estimation in computer vision field has
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …
Bodies at rest: 3d human pose and shape estimation from a pressure image using synthetic data
People spend a substantial part of their lives at rest in bed. 3D human pose and shape
estimation for this activity would have numerous beneficial applications, yet line-of-sight …
estimation for this activity would have numerous beneficial applications, yet line-of-sight …
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
A Bigalke, L Hansen, J Diesel, C Hennigs… - Medical Image …, 2023 - Elsevier
Abstract 3D human pose estimation is a key component of clinical monitoring systems. The
clinical applicability of deep pose estimation models, however, is limited by their poor …
clinical applicability of deep pose estimation models, however, is limited by their poor …
Remote recognition of in-bed postures using a thermopile array sensor with machine learning
Recently, there has been growing attention to sleep quality monitoring. In-bed posture is not
only one of the critical factors that evaluates sleep qualities but can also help improve the …
only one of the critical factors that evaluates sleep qualities but can also help improve the …
Bodypressure-inferring body pose and contact pressure from a depth image
Contact pressure between the human body and its surroundings has important implications.
For example, it plays a role in comfort, safety, posture, and health. We present a method that …
For example, it plays a role in comfort, safety, posture, and health. We present a method that …