Results 71 to 80 of about 10,913 (220)

Comprehensive database for benchmarking markerless motion capture methodologies: example results

International audienceA comprehensive database is introduced including markerless, marker-based, and biomechanical estimations derived from various markerless processing methods. This database can be useful for benchmarking markerless method to estimated
Muller, Antoine, Adjel, Mohamed, Pagnon, David, Dumas, Raphaël, Ramos, Diana, Pardo, Robert, Thomas, Naaïm, Alexandre, Chaumeil, Anaïs, Couvertier, Marien, Bousigues, Sandrine, Schortgen, Alexandre   +10 more
core   +3 more sources

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   +2 more sources

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

Underwater gait analysis: a markerless approach

, 2022
The technology that supports human motion analysis has advanced significantly in the past two decades. Gait analysis has become a well established paradigm for the diagnosis of the patho-mechanics related to musculoskeletal diseases, and for the ...
Mantoan, Alice
core  

Assessment of Human Anthropometry With a Markerless Motion Capture System

, 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  

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

Exoskeleton‐assisted physiotherapy in school and outpatient contexts for minimally ambulant children with cerebral palsy

Developmental Medicine &Child Neurology, EarlyView.
Abstract Aim To assess the clinical feasibility of lower‐limb pediatric exoskeleton‐assisted (Trexo Plus) physiotherapy for minimally ambulatory children at an outpatient center and a primary school. Secondary aims were to assess associated functional and goal‐based outcomes before and after Trexo‐based physiotherapy.
Stefanie S. Bradley, Tom Chau, Anne Kawamura, F. Virginia Wright   +3 more
wiley   +1 more source

Markerless Analysis of Gait Patterns in the Parkinson's Disease [PDF]

, 2012
In the clinical praxis Gait Analysis constitutes one of the key tools for the diagnose and follow up of some pathologies. The conventional approach includes the approximation of the skeleton by the placement and detection of a set of markers, this ...
León Alcázar, Juan Carlos
core  

A Deep Learning Model for Markerless Pose Estimation Based on Keypoint Augmentation: What Factors Influence Errors in Biomechanical Applications?

Sensors
In biomechanics, movement is typically recorded by tracking the trajectories of anatomical landmarks previously marked using passive instrumentation, which entails several inconveniences.
Ana V. Ruescas-Nicolau, Enrique Medina-Ripoll, Helios de Rosario, Joaquín Sanchiz Navarro, Eduardo Parrilla, María Carmen Juan Lizandra   +5 more
doaj   +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