Results 101 to 110 of about 13,791 (206)

Reliability and Validity of AI-Based Pose Estimation Algorithms for Assessing Lower-Limb Flexibility and Joint Range of Motion

open access: yesSensors
Muscle flexibility and joint range of motion (ROM) evaluation are essential for injury prevention and rehabilitation; however, conventional manual methods are limited in large-scale screening and self-monitoring because of examiner dependency and time ...
Hinata Okuno   +5 more
doaj   +1 more source

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

open access: yes, 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  

Validation and Use of Markerless Captured Joint Kinematics to Drive a MSK Model for Knee Joint Reaction Force Estimation

open access: yes, 2023
LAUREA MAGISTRALEIl presente studio convalida la cinematica e la cinematica articolare acquisite da un sistema di cattura del movimento markerless basato su deep learning, Theia3D, con un sistema tradizionale marker-based, Qualisys.
ANTOGNINI, CAMILLA
core  

Markerless motion capture of man-machine interaction

open access: yes2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
This work deals with modeling and markerless tracking of athletes interacting with sports gear. In contrast to classical markerless tracking, the interaction with sports gear comes along with joint movement restrictions due to additional constraints: while humans can generally use all their joints, interaction with the equipment imposes a coupling ...
Bodo Rosenhahn   +5 more
openaire   +3 more sources

Markerless tracking using planar structures in the scene

open access: yesProceedings IEEE and ACM International Symposium on Augmented Reality (ISAR 2000), 2002
We describe a markerless camera tracking system for augmented reality that operates in environments which contain one or more planes. This is a common special case, which we show significantly simplifies tracking. The result is a practical, reliable, vision-based tracker.
Simon, G, Fitzgibbon, AW, Zisserman, A
openaire   +4 more sources

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

open access: yesSensors
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   +5 more
doaj   +1 more source

Evaluating the Reliability and Consistency of Treadmill Gait Analysis Using an RGB-D Camera: Effects of Assistance and No Assistance

open access: yesSensors
This study aimed to assess the intraday reliability of markerless gait analysis using an RGB-D camera versus a traditional three-dimensional motion analysis (3DMA) system with and without a simulated walking assistant.
Yuichiro Hosoi   +2 more
doaj   +1 more source

A markerless platform for automatic assessment of gait

open access: yesGait & Posture
INNOVAZIONI NELL'ANALISI DEL MOVIMENTO: PROGRESSI NELLA PRATICA CLINICA, NELLA RIABILITAZIONE E NELLO SPORT Il congresso annuale della Società Italiana di Analisi del Movimento in Clinica (SIAMOC), giunto quest’anno alla sua ventiquattresima edizione, approda per la prima volta a Stresa, sulle sponde del Lago Maggiore.
R. Di Marco   +9 more
openaire   +2 more sources

Marker Data Enhancement For Markerless Motion Capture

open access: yesIEEE Transactions on Biomedical Engineering
Abstract Objective Human pose estimation models can measure movement from videos at a large scale and low cost; however, open-source pose estimation models typically detect only sparse keypoints, which leads to inaccurate joint kinematics.
Antoine Falisse   +4 more
openaire   +4 more sources

Projector Calibration using a Markerless Plane.

open access: yes, 2009
In this paper we address the problem of geometric video projector calibration using a markerless planar surface (wall) and a partially calibrated camera. Instead of using control points to infer the camera-wall orientation, we find such relation by efficiently sampling the hemisphere of possible orientations. This process is so fast that even the focal
Draréni, Jamil   +2 more
openaire   +2 more sources

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