Zobrazeno 1 - 10
of 3 148
pro vyhledávání: '"Human Pose Estimation"'
Autor:
Shizhe Yuan, Li Zhou
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 585-597 (2025)
With the advancement of artificial intelligence, 3D human pose estimation-based systems for sports training and posture correction have gained significant attention in adolescent sports. However, existing methods face challenges in handling complex m
Externí odkaz:
https://doaj.org/article/aeb10f7f76ab4335a4767583852e16b8
Publikováno v:
Alexandria Engineering Journal, Vol 112, Iss , Pp 293-306 (2025)
With the rapid development of IoT technology, real-time human pose estimation has become increasingly important in sports training feedback systems. However, current methods often fall short in balancing high accuracy with low computational resource
Externí odkaz:
https://doaj.org/article/2cb8c26263bc492e9080c6e336800de4
Autor:
Anam Memon, Qasim Arain, Nasrullah Pirzada, Akram Shaikh, Adel Sulaiman, Mana Saleh Al Reshan, Hani Alshahrani, Asadullah Shaikh
Publikováno v:
ICT Express, Vol 10, Iss 6, Pp 1266-1272 (2024)
Estimating accurate 3D human poses from a monocular video is fundamental to various computer vision tasks. Existing methods exploit 2D-to-3D pose lifting, multiview images, and depth sensors to model spatio-temporal dependencies. However, depth ambig
Externí odkaz:
https://doaj.org/article/4d4e9cc736774ddb8caad5d77d4c42ba
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 144-156 (2024)
Human pose estimation in sports training is a critical application within Internet of Things (IoT) environments, leveraging IoT devices to enhance performance analysis and injury prevention. Current methods struggle with real-time processing and accu
Externí odkaz:
https://doaj.org/article/0fe00ec260a046cf8a284c555d206504
PCNet: a human pose compensation network based on incremental learning for sports actions estimation
Autor:
Jia-Hong Jiang, Nan Xia
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Human pose estimation has a wide range of applications. Existing methods perform well in conventional domains, but there are certain defects when they are applied to sports activities. The first is lack of estimation of the extremity posture
Externí odkaz:
https://doaj.org/article/4634e20b6d1f4d2890a7b23f2769129a
Publikováno v:
Meikuang Anquan, Vol 55, Iss 11, Pp 227-233 (2024)
A lightweight human pose recognition model based on OpenPose improvement is proposed to address the difficulty of intelligent supervision of abnormal behaviors of coal mine workers. The backbone network of original model is replaced with MobileNet-v3
Externí odkaz:
https://doaj.org/article/39eb28331c94490991cd12701561f153
Publikováno v:
Alexandria Engineering Journal, Vol 115, Iss , Pp 210-221 (2025)
This study proposes the IoT-Enhanced Pose Optimization Network (IE-PONet) for high-precision 3D pose estimation and motion optimization of track and field athletes. IE-PONet integrates C3D for spatiotemporal feature extraction, OpenPose for real-time
Externí odkaz:
https://doaj.org/article/64a1d6296a3343428ce4fbd512af285b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Assessment of the upper limb is critical to guiding the rehabilitation cycle. Drawbacks of observation-based assessment include subjectivity and coarse resolution of ordinal scales. Kinematic assessment gives rise to objective quantitative m
Externí odkaz:
https://doaj.org/article/13ff3a8411784485ba319262a9063182
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2384-2394 (2024)
Existing 3D human pose estimators perform well on a single dataset but are limited by the single pose structure of the training data, resulting in insufficient generalization to cross-domain experiments. Existing methods mitigate this deficiency by i
Externí odkaz:
https://doaj.org/article/4232f6f5ba3e4bde8d503f707ee1ddc6
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-17 (2024)
Abstract Human pose estimation is an important task in computer vision, which can provide key point detection of human body and obtain bone information. At present, human pose estimation is mainly utilized for detection of large targets, and there is
Externí odkaz:
https://doaj.org/article/5ce1d65d38d04d90944f78f6016dcc95