Integrating Recurrent Neural Networks and Loss Function Optimization for Efficient Indoor Camera Positioning by Shamsul Alam, Farhan Mohamed, Bellal Hossain

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Reliability and validity of OpenPose for measuring HKA angle in dynamic walking videos in patients with knee osteoarthritis by Fanghong Ge, Changjiang Wu, Fangjun Ge, Shenghao Xu, Jianlin Xiao

“…This study investigates the reliability and validity of OpenPose, video-based human pose estimation method, for determining the HKA angle in KOA patients. …”
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Exploration of Reproductive Health Apps’ Data Privacy Policies and the Risks Posed to Users: Qualitative Content Analysis by Nina Zadushlivy, Rizwana Biviji, Karmen S Williams

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EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…These capabilities allow ECs to overcome challenges such as glare, uneven lighting, and low-light conditions that are common in aerial imaging and remote sensing, while also extending UAV flight endurance. To evaluate the effectiveness of ECs in WAMI, we simulate event data from RGB WAMI imagery and integrate them into SfM pipelines for camera pose optimization and 3D point cloud generation. …”
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Automatic detection of teacher behavior in classroom videos using AlphaPose and Faster R-CNN algorithms by Jing Huang, Harwati Hashim, Helmi Norman, Mohammad Hafiz Zaini, Xiaojun Zhang

“…This study proposes an automated classification framework for evaluating teacher behavior in classroom settings by integrating AlphaPose and Faster region-based convolutional neural networks (R-CNN) algorithms. …”
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Comparative Analysis of MTCNN and Haar Cascades for Face Detection in Images with Variation in Yaw Poses and Facial Occlusions by Omer Abdulhaleem Naser, Sharifah Mumtazah, Khairulmizam Samsudin, Marsyita Hanafi, Siti Mariam Binti, Nor Zarina Zamri

“…Many studies have contrasted these two models, but the yaw poses of faces were not addressed due to the scarcity of datasets with systematic degrees of face orientation. …”
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A Category–Pose Jointly Guided ISAR Image Key Part Recognition Network for Space Targets by Qi Yang, Hongqiang Wang, Lei Fan, Shuangxun Li

“…Correspondingly, additional classification heads are employed to predict category and pose, and the predictions are then integrated with ISAR image semantic features through a designed category–pose guidance module to achieve high-precision recognition guided by category and pose knowledge. …”
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Wi-Fi-Enabled Vision via Spatially-Variant Pose Estimation Based on Convolutional Transformer Network by Hyeon-Ju Lee, Seok-Jun Buu

“…Wi-Fi-enabled vision offers a transformative paradigm for non-optical pose estimation, particularly in occluded or privacy-sensitive environments where traditional visual systems falter. …”
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Real-Time Reinforcement Learning for Optimal Viewpoint Selection in Monocular 3D Human Pose Estimation by Sanghyeon Lee, Yoonho Hwang, Jong Taek Lee

“…Monocular 3D human pose estimation (HPE) presents an inherently ill-posed challenge, complicated by issues such as depth ambiguity and uncertainty. …”
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CRIMINAL INTELLIGENCE AS A PROMISING TOOL FOR COMBATING THREATS TO UKRAINE’S NATIONAL SECURITY POSED BY ORGANIZED CRIME by Dmytro Viedienieiev, Oleksandr Semeniuk

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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

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

“…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.…”
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Hyperbolic extensions of constrained PDEs by Fernando Abalos, Oscar Reula, David Hilditch

Subjects: “…well-posed initial value problem…”
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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

“…Furthermore, we implemented a two-stage detection method augmented with transfer learning, which not only reduces training complexity but also significantly enhances the model's performance. Extensive evaluation of our custom-built dataset demonstrated Pod-Pose's superior performance, with the X variant achieving an Average Precision of 0.912 at an IoU threshold of 0.5 (AP@IoU = 0.5). …”
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The Prediction of Cerebral Palsy in Infants Using Pose Estimation Techniques Within a Hybrid Deep Learning Framework by Lama A. Alghamdi, Maryam A. Aldahri, Saja A. Alzahrani, Rowla A. Alaofi, Rawaf F. Nafea, Noura M. Alotaibi

“…This study aimed to investigate the effectiveness of using pose estimation techniques and hybrid deep learning (DL) approaches for predicting CP in infants. …”
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Development and Verification of Postural Control Assessment Using Deep-Learning-Based Pose Estimators: Towards Clinical Applications by Naoto Ienaga, Shuhei Takahata, Kei Terayama, Daiki Enomoto, Hiroyuki Ishihara, Haruka Noda, Hiromichi Hagihara

“…Occupational therapists evaluate various aspects of a client’s occupational performance. …”
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PIFR: A novel approach for analyzing pose angle-based human activity to automate fall detection in videos. by Vungsovanreach Kong, Saravit Soeng, Munirot Thon, Wan-Sup Cho, Anand Nayyar, Tae-Kyung Kim

“…Falls pose a significant health risk for elderly populations, necessitating advanced monitoring technologies. …”
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LiDAR as a Geometric Prior: Enhancing Camera Pose Tracking Through High-Fidelity View Synthesis by Rafael Muñoz-Salinas, Jianheng Liu, Francisco J. Romero-Ramirez, Manuel J. Marín-Jiménez, Fu Zhang

“…By detecting and matching keypoints between these synthetic images and the live camera feed, we establish reliable 3D–2D correspondences for accurate pose estimation. We evaluate two distinct strategies: an Online Rendering and Tracking method that renders views on the fly, and an Offline Keypoint-Map Tracking method that precomputes a keypoint map for known trajectories, optimizing for computational efficiency. …”
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A Light-Weight Grasping Pose Estimation Method for Mobile Robotic Arms Based on Depthwise Separable Convolution by Jianguo Duan, Chuyan Ye, Qin Wang, Qinglei Zhang

“…To address these issues, this paper proposes a light-weight grasping pose estimation method called Grasp-DSC, specifically tailored for mobile robotic arms. …”
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Predicting learners' engagement and help-seeking behaviors in an e-learning environment by using facial and head pose features by Guan-Yun Wang, Yasuhiro Hatori, Yoshiyuki Sato, Chia-Huei Tseng, Satoshi Shioiri

“…We used SHAP (Shapley Additive exPlanations) analysis to evaluate the importance of Basic AUs and Head Pose features. …”
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