Vision-Ray-Calibration-Based Monocular Deflectometry by Poses Estimation from Reflections by Cheng Liu, Jianhua Liu, Yanming Xing, Xiaohui Ao, Wang Zhang, Chunguang Yang

“…This paper presents a methodology for solving the slope distribution of the SUT utilizing pose estimation derived from reflections, based on vision ray calibration (VRC). …”
Get full text

RotJoint-Based Action Analyzer: A Robust Pose Comparison Pipeline by Guo Gan, Guang Yang, Zhengrong Liu, Ruiyan Xia, Zhenqing Zhu, Yuke Qiu, Hong Zhou, Yangwei Ying

“…To address these challenges, we define a feature representation called RotJoints, which is strongly correlated with both the semantic and spatial characteristics of the pose. This parameter emphasizes the description of limb rotations across multiple dimensions, rather than merely describing orientation. …”
Get full text

Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

Get full text

Agronomic and environmental phosphorus parameters in molisolls with different soil uses in the province of Buenos Aires, Argentina by Nélida Nancy Pose, María Cecilia Baeza, Ester Cristina Zamuner, Paula Di Gerónimo, Cecilia Del Carmen Videla

Get full text

EPLC-Pose: A Lightweight Student Posture Recognition Network Under Panoramic Classroom by Yanhong Ji, Yibo Jin, Zuxuan Wang, Suyan Tan

“…Therefore, in this paper, we propose a lightweight network called EPLC-Pose (Efficient Panoramic Lightweight Classroom Pose Network), a novel architectural approach based on the YOLOv8-Pose framework. …”
Get full text

Chest Compression Skill Evaluation System Using Pose Estimation and Web-Based Application by Ryota Watanabe, Jahidul Islam, Xin Zhu, Emiko Kaneko, Ken Iseki, Lei Jing

Get full text

Steel Roll Eye Pose Detection Based on Binocular Vision and Mask R-CNN by Xuwu Su, Jie Wang, Yifan Wang, Daode Zhang

Get full text

Federated Learning for Human Pose Estimation on Non-IID Data via Gradient Coordination by Peng Ni, Dan Xiang, Dawei Jiang, Jianwei Sun, Jingxiang Cui

“…To address this, we propose the Federated Gradient Harmonization aggregation strategy (FedGH), which coordinates update directions by measuring client gradient discrepancies and integrating gradient-projection correction with a parameter-reconstruction mechanism. Experiments conducted on a self-constructed single-arm robotic dataset and the public Max Planck Institute for Informatics (MPII Human Pose Dataset) dataset demonstrate that FedGH achieves average Percentage of Correct Keypoints (PCK) of 47.14% and 66.31% across all keypoints, representing improvements of 1.82 and 0.36 percentage points over the Federated Adaptive Weighting (FedAW) method. …”
Get full text

Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Aiming at the problems caused by a lack of feature matching due to occlusion and fixed model parameters in cross-domain person re-identification, a method based on multi-branch pose-guided occlusion generation is proposed. …”
Get full text

Gait Analysis Method Focused on Skeleton Pose Estimation Using Wheeled Gait-Training Walker by Hidehisa Nakayama, Kazutoshi Ogawa, Tsugito Maruyama

“…For skeleton pose estimation, OpenPose was used. Thirteen gait parameters were designed from the extracted keypoints considering the opinions of some rehabilitation staff. …”
Get full text

Research on action matching of skeletal point coordinates and sports teaching application based on Open-pose by Shunmin Su

“…This study addresses the challenges of high matching errors and low recognition rates in traditional skeletal point-based human action matching methods, a skeleton point coordinate and human posture action matching technology is studied based on Open-pose open-source model. Based on the Open-pose open source model, we construct a skeletal point coordinate action matching network model, use the feed-forward network for 2D confidence mapping, test it through the loss function, calculate the shortest distance to identify the association affinity domain, and introduce the greedy relaxation algorithm to optimize the accuracy rate of the association matching of multi-body skeletal points; we obtain the skeletal point coordinate parameters through the two-dimensional spatial mapping and use the k-means algorithm to quantify the features of the skeletal point coordinates, and the residuals of the skeletal point coordinates are quantized. …”
Get full text

A Hybrid Approach of DenseNet121 with Attention and Bi-LSTM for Yoga Pose Estimation by Aarthy K., Alice Nithya

“…This study presents an Automated Pose Recognition system using Enhanced Chicken Swarm Optimization with Deep Learning (APR-ECSODL), a cutting-edge solution for identifying and categorizing human postures from images and videos with high accuracy. …”
Get full text

Lightweight pose estimation spatial-temporal enhanced graph convolutional model for miner behavior recognition by WANG Jianfang, DUAN Siyuan, PAN Hongguang, JING Ningbo

“…The detected human regions were cropped and inputted into Lite-HRNet to generate skeleton sequences based on human pose keypoints. MEST-GCN improved upon the spatial-temporal graph convolutional network (ST-GCN) by removing redundant layers to simplify the model structure and reduce the number of parameters. …”
Get full text

Research on Pose Error Modeling and Compensation of Posture Adjustment Mechanism Based on WOA-RBF Neural Network by Hongyu Shen, Honggen Zhou, Yiyang Jin, Lei Li, Bo Deng, Jiawei Xu

“…After optimizing the network parameters, it yields the actuator length compensation to correct the actual pose of the dynamic platform. …”
Get full text

Navigational Safety Hazards Posed by Offshore Wind Farms: A Comprehensive Literature Review and Bibliometric Analysis by Vice Milin, Ivica Skoko, Željana Lekšić, Zlatko Boko

“…This article gives a structured quantitative analysis and an in-depth review of the literature connected to the safety of navigation, collision probability, and risk assessment that OWFs pose to all maritime industry agents. In this article, the main concerns of the impact of OWFs to the safety of navigation are analyzed using a combination of both the PRISMA and PICOC methodologies. …”
Get full text

Validation of markerless video-based gait analysis using pose estimation in toddlers with and without neurodevelopmental disorders by Jeffrey T. Anderson, Jan Stenum, Ryan T. Roemmich, Ryan T. Roemmich, Rujuta B. Wilson, Rujuta B. Wilson

“…Simultaneously recorded videos were processed in OpenPose to perform pose estimation and a custom MATLAB workflow to calculate average spatiotemporal gait parameters. …”
Get full text

YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

Get full text

Towards Intelligent Assessment in Personalized Physiotherapy with Computer Vision by Victor García, Olga C. Santos

“…The visual information is then analyzed to propose a semantic framework that facilitates a structured interpretation of clinical parameters. Preliminary results indicate that YOLO Pose provides reliable pose estimation, offering a solid foundation for future enhancements, such as the integration of natural language processing (NLP) to improve patient interaction through empathetic, AI-driven support.…”
Get full text

Monocular Unmanned Boat Ranging System Based on YOLOv11-Pose Critical Point Detection and Camera Geometry by Yuzhen Wu, Yucheng Suo, Xinqiang Chen, Yongsheng Yang, Han Zhang, Zichuang Wang, Octavian Postolache

“…These indicators show that Yolov11m-pose has a better accuracy in the key point detection task with an unmanned boat. …”
Get full text

Pod-pose : an efficient top-down keypoint detection model for fine-grained pod phenotyping in mature soybean by Fei Liu, Hang Liu, Qiong Wu, Zhongzhi Han, Shanchen Pang, Shudong Wang, Longgang Zhao

“…Results We propose Pod-pose, an innovative top-down keypoint detection model for precise soybean pod phenotyping that adapts human pose estimation techniques to plant phenotyping. …”
Get full text