Results 111 to 120 of about 10,859 (240)

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

Keypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons

Nature Communications
Body pose and orientation serve as vital visual signals in primate non-verbal social communication. Leveraging deep learning algorithms that extract body poses from videos of behaving monkeys, applied to a monkey avatar, we investigated neural tuning for
Rajani Raman, Anna Bognár, Ghazaleh Ghamkhari Nejad, Albert Mukovskiy, Lucas Martini, Martin Giese, Rufin Vogels   +6 more
doaj   +1 more source

Fusion of Target and Keypoint Detection for Automated Measurement of Mongolian Horse Body Measurements

Agriculture
Accurate and efficient access to Mongolian horse body size information is an important component in the modernization of the equine industry. Aiming at the shortcomings of manual measurement methods, such as low efficiency and high risk, this study ...
Lide Su, Minghuang Li, Yong Zhang, Zheying Zong, Caili Gong   +4 more
doaj   +1 more source

Inter‐Session Repeatability of a Smartphone‐Based Markerless System to Measure Segment Length and Lower‐Limb Kinematics in Patients With End‐Stage Knee Osteoarthritis

Orthopaedic Surgery, EarlyView.
The root mean square deviation (RMSD) across all kinematic variables between the test and retest sessions for walking and sit‐to‐stand. The “Total” RMSD represents the intra‐subject average of the walking and sit‐to‐stand tasks. ABSTRACT Background While kinematic analysis is crucial to characterize multi‐planar functional deficits in end‐stage knee ...
Chunping Ye, Renxin Ding, Junqing Wang, Yong Nie, Kang Li   +4 more
wiley   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

DualPose: Dual-Block Transformer Decoder with Contrastive Denoising for Multi-Person Pose Estimation

Sensors
Multi-person pose estimation is the task of detecting and regressing the keypoint coordinates of multiple people in a single image. Significant progress has been achieved in recent years, especially with the introduction of transformer-based end-to-end ...
Matteo Fincato, Roberto Vezzani
doaj   +1 more source

Keypoint Promptable Re-Identification

Occluded Person Re-Identification (ReID) is a metric learning task that involves matching occluded individuals based on their appearance. While many studies have tackled occlusions caused by objects, multi-person occlusions remain less explored. In this work, we identify and address a critical challenge overlooked by previous occluded ReID methods: the
Vladimir Somers, Alexandre Alahi, Christophe De Vleeschouwer   +2 more
openaire   +3 more sources

Learning local descriptors by optimizing the keypoint-correspondence criterion

, 2016
Current best local descriptors are learned on a large dataset of matching and non-matching keypoint pairs. However, data of this kind is not always available since detailed keypoint correspondences can be hard to establish.
Igor S. Pandzic, Markus, Nenad,, Ahlberg, Jörgen,, Nenad Markus, Pandzic, Igor S.,, Jorgen Ahlberg   +5 more
core   +1 more source

Artificial Intelligence‐Assisted Wireless Handheld Ultrasound for Screening Developmental Dysplasia of the Hip in Infants

Journal of Ultrasound in Medicine, Volume 45, Issue 10, Page 2329-2343, October 2026.
Objectives Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to
Dandan Zhang, Simiao Tao, Ping Chen, Jiangtao Wang, Yu Yang, Xiuxiu Zhang, Tieqiang Wang, Hailin Pan, Jiong Chen, Baoying Ye   +9 more
wiley   +1 more source

Human‐in‐the‐loop eider duck counting in Arctic Canada with an open‐vocabulary multispecies wildlife detector

AI Magazine, Volume 47, Issue 3, Fall 2026.
Abstract Accurate monitoring of eider duck populations in Arctic Canada is essential for understanding ecosystem health and supporting conservation efforts in a rapidly changing climate. Traditional manual counting from aerial imagery is time‐consuming, labor‐intensive, and prone to observer bias.
Jayden Hsiao, Aryan Kalia, Zhonghao Zhang, Hudson Sun, Muhammed Patel, David A. Clausi, Lincoln Linlin Xu, Becky Segal, Joel Heath   +8 more
wiley   +1 more source