Results 71 to 80 of about 13,791 (206)

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

Assessment of Human Anthropometry With a Markerless Motion Capture System [PDF]

, 2023
In this methodological study, we evaluate the accuracy and repeatability of the Theia markerless motion capture system for determining accurate anthropometric measurements. We will assess the correlation between linear measurements from a sample of human
Mowad, Jenna, Riccitelli, Christopher, Moore, James   +2 more
core  

Comparison of Lower-Limb Joint Angles Obtained From Single-View Markerless and Marker-Based Three-Dimensional Motion Capture Systems Across Camera Locations

IEEE Access
This study compared lower-limb joint angles obtained from single-view markerless three-dimensional (3-D) motion capture (MoCap) systems with those obtained from a marker-based MoCap system across different camera locations. Three markerless MoCap systems,
Taeu Kim, Myung-Chul Jung, Seung-Min Mo
doaj   +1 more source

Development of a Markerless Knockout Method for Actinobacillus succinogenes [PDF]

Applied and Environmental Microbiology, 2014
ABSTRACT Actinobacillus succinogenes is one of the best natural succinate-producing organisms, but it still needs engineering to further increase succinate yield and productivity. In this study, we developed a markerless knockout method for A.
Joshi, Rajasi V., Schindler, Bryan D., McPherson, Nikolas R., Tiwari, Kanupriya, Vieille, Claire   +4 more
openaire   +4 more sources

Theia: An end‐to‐end edge‐AI mobile framework for high‐throughput field phenotyping and on‐device geometric morphometrics

Methods in Ecology and Evolution, EarlyView.
Abstract Geometric morphometrics (GM) is widely used to study phenotypic variation in ecological and evolutionary research, but the throughput of manual landmark digitization limits how large morphometric datasets can practically become, especially in field studies that would benefit from rapid on‐site feedback.
Cristobal Bragagnolo, Andrés Ferreira‐Rodríguez, Mohamed Abdelaziz, A. Jesús Muñoz‐Pajares   +3 more
wiley   +1 more source

Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles

Computer Graphics Forum, EarlyView.
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton, E. Alvarado, L. G. Foo, N. Pelechano, C. Andujar, M. Habermann   +5 more
wiley   +1 more source

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

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

Markerless Augmented Reality Using Image Mosaics [PDF]

, 2008
Augmented reality is a powerful tool for delivering spatially coherent information to a user moving in a known environment. Accurate and reliable pose estimation is the key to success. Many approaches track reference objects into the scene but as the environment grows larger more objects need to be tracked leading to computationally intensive methods ...
AZZARI, PIETRO, DI STEFANO, LUIGI, TOMBARI, FEDERICO, MATTOCCIA, STEFANO   +3 more
openaire   +3 more sources

Extended Reality in Endodontics: A Review of Current Applications and Future Potential

International Endodontic Journal, EarlyView.
ABSTRACT Background Extended reality (XR) technologies, encompassing augmented reality (AR), virtual reality (VR), and mixed reality (MR), are increasingly used in endodontic education and practice. A gap exists regarding understanding of XR's applications and limitations among endodontic educators and practitioners.
Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Peng Yuan Zhou, Damiano Pasqualini, Henry F. Duncan, Ruben Pauwels, Ali Nosrat   +6 more
wiley   +1 more source