Human pose estimation using deep learning: a systematic literature review
Human Pose Estimation (HPE) is the task that aims to predict the location of human joints
from images and videos. This task is used in many applications, such as sports analysis and …
from images and videos. This task is used in many applications, such as sports analysis 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 …
Human posture detection using image augmentation and hyperparameter-optimized transfer learning algorithms
With the advancement in pose estimation techniques, human posture detection recently
received considerable attention in many applications, including ergonomics and healthcare …
received considerable attention in many applications, including ergonomics and healthcare …
3D Human Pose Estimation from multi-view thermal vision sensors
Abstract Human Pose Estimation from images allows the recognition of key daily activity
patterns in Smart Environments. Current State-of-the-art (SOTA) 3D pose estimators are built …
patterns in Smart Environments. Current State-of-the-art (SOTA) 3D pose estimators are built …
Video-based automatic baby motion analysis for early neurological disorder diagnosis: state of the art and future directions
Neurodevelopmental disorders (NDD) are impairments of the growth and development of
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …
Spatial transformer network on skeleton‐based gait recognition
C Zhang, XP Chen, GQ Han, XJ Liu - Expert Systems, 2023 - Wiley Online Library
Skeleton‐based gait recognition models suffer from the robustness problem, as the rank‐1
accuracy varies from 90% in normal walking cases to 70% in walking with coats cases. In …
accuracy varies from 90% in normal walking cases to 70% in walking with coats cases. In …
[HTML][HTML] 3D pose estimation dataset and deep learning-based ergonomic risk assessment in construction
Pose estimation of construction workers is critical to ensuring safe construction and
protecting construction workers from ergonomic risks. Computer vision (CV)-based 3D pose …
protecting construction workers from ergonomic risks. Computer vision (CV)-based 3D pose …
SPECTRE: a deep learning network for posture recognition in manufacturing
M Ciccarelli, F Corradini, M Germani, G Menchi… - Journal of Intelligent …, 2023 - Springer
Work-related musculoskeletal disorders are a very impactful problem, both socially and
economically, in the manufacturing sector. To control their effect, standardised methods and …
economically, in the manufacturing sector. To control their effect, standardised methods and …
A survey on deep 3D human pose estimation
RB Neupane, K Li, TF Boka - Artificial Intelligence Review, 2024 - Springer
Abstract 3D Human Pose Estimation (3D-HPE) is a highly active and evolving research area
in computer vision with numerous applications such as extended reality, action recognition …
in computer vision with numerous applications such as extended reality, action recognition …
Spatial-net for human-object interaction detection
Human-object interaction (HOI) detection is the detection of a human's relationship with an
object in still images and videos. The majority of HOI detection methods rely on appearance …
object in still images and videos. The majority of HOI detection methods rely on appearance …