Results 121 to 130 of about 2,947,234 (236)

StayStill: a large‐scale 3D idle animation dataset

Computer Graphics Forum, EarlyView.
Abstract Idle animations are essential for virtual characters, as they convey realistic behaviour during inactive states. While automatic animation generation has been widely studied, limited attention has been given to idle motion due to the absence of dedicated training datasets.
Eneko Atxa Landa, Igor Rodriguez, Elena Lazkano, Taras Kucherenko   +3 more
wiley   +1 more source

KnowTI: Bridging the Knowledge Gap in Information Communication through Interactive Visual LLM Summarizations

Computer Graphics Forum, EarlyView.
We propose KnowTI, a Knowledge Transfer framework that delivers interactive visual summarizations on demand. We conducted a mixed‐initiative within‐subject design study comparing traditional video‐based learning against KnowTI. We assessed statistical significance and qualitative utterances focusing on learning outcomes, knowledge gain and retention ...
S. El‐Sherbiny, R. G. Raidou
wiley   +1 more source

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

KCNN: Extremely-Efficient Hardware Keypoint Detection With a Compact Convolutional Neural Network

, 2018
Keypoint detection algorithms are typically based on handcrafted combinations of derivative operations implemented with standard image filtering approaches.
Carlo Dal Mutto, Kinh Tieu, Stefano Mattoccia, Paolo Di Febbo   +3 more
core   +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

A Self-supervised Pressure Map human keypoint Detection Approch: Optimizing Generalization and Computational Efficiency Across Datasets [PDF]

In environments where RGB images are inadequate, pressure maps is a viable alternative, garnering scholarly attention. This study introduces a novel self-supervised pressure map keypoint detection (SPMKD) method, addressing the current gap in specialized
Yang, Xianjun, Yu, Chengzhang, Wang, Shaonan, Yao, Zhiming, Bao, Wenxia   +4 more
core   +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

An algorithm for detecting cow lameness based on ensemble learning of keypoint motion features

Journal of Dairy Science
: Lameness has significant effects on the health, welfare, and productivity of dairy cows. Common challenges in farm environments, such as uneven lighting and occlusion, reduce the accuracy of keypoint detection, which in turn affects the precise ...
Yuhao Shen, Baoshan Li, Yueming Wang, Qi Li, Zhirong Zhang   +4 more
doaj   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source

SFG-YOLOv8: efficient and lightweight small-feature gesture keypoint detector

Journal of King Saud University: Computer and Information Sciences
Human‒computer interaction (HCI) plays a crucial role in augmented reality (AR). This paper introduces SFG-YOLOv8, an efficient and lightweight gesture keypoint detector designed for low-computational-power AR scenarios.
Weimin Che, Hui Zhang, Bangxue Wu, Qun Li, Hongji Zhang, Shilong Yuan, Hongcheng Yang   +6 more
doaj   +1 more source