Results 41 to 50 of about 779 (138)
Uncertainty Assessment of Wave Elevation Field Measurement Using a Depth Camera
Journal of Marine Science and Engineering, 2023 The present study suggests a methodology for acquiring wave elevation fields using a depth camera sensor, with assessment results for the test uncertainty.
Hoyong Kim +3 more
doaj +1 more source
Assessing the Accuracy of the Azure Kinect for Telerehabilitation After Breast Cancer Surgery
, 2023 Background: Rehabilitation plays a key role in the recovery of upper extremity function after breast cancer surgery. Motion capture (mocap) systems for serious gaming have shown the potential to enable home-based rehabilitation, but clinical accuracy needs to be examined.
Cattaneo, Andrea +5 more
openaire +3 more sources
Performance of Microsoft Azure Kinect DK as a tool for estimating human body segment lengths. [PDF]
Sci RepAbstractThe Microsoft Kinect depth sensor, with its built-in software that automatically captures joint coordinates without markers, could be a potential tool for ergonomic studies. This study investigates the performance of Kinect in limb segment lengths using dual-energy X-ray absorptiometry (DXA) as a reference.
Wang SA, Lu MH, Lee AT, Chen CY, Lee LW.
europepmc +4 more sources
Use of the Azure Kinect to measure foot clearance during obstacle crossing [PDF]
, 2021 Abstract Obstacle crossing is a typical adaptive locomotion known to be related to the risk of falls. Previous conventional studies have used elaborate and costly optical motion capture systems, which not only represent a considerable expense but also require participants to visit a laboratory.
Kohei Yoshimoto, Masahiro Shinya
openaire +1 more source
Depth-Imaging for Gait Analysis on a Treadmill in Older Adults at Risk of Falling
IEEE Journal of Translational Engineering in Health and Medicine, 2023 Background: Accidental falls are a major health issue in older people. One significant and potentially modifiable risk factor is reduced gait stability.
Michel Hackbarth +3 more
doaj +1 more source
UNIPD-BPE: Synchronized RGB-D and Inertial Data for Multimodal Body Pose Estimation and Tracking
Data, 2022 The ability to estimate human motion without requiring any external on-body sensor or marker is of paramount importance in a variety of fields, ranging from human–robot interaction, Industry 4.0, surveillance, and telerehabilitation.
Mattia Guidolin +2 more
doaj +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Low-cost, portable RGB-D cameras with integrated body tracking functionality enable easy-to-use 3D motion analysis without requiring expensive facilities and specialized personnel.
Nikolas Hesse +3 more
doaj +1 more source
IEEE AccessDetecting and estimating size of apples during the early stages of growth is crucial for predicting yield, pest management, and making informed decisions related to crop-load management, harvest and post-harvest logistics, and marketing.
Ranjan Sapkota +3 more
doaj +1 more source
A systematic color correction pipeline for controlled‐environment imaging
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source
SoftwareX, 2023 AKFruitYield is a modular software that allows orchard data from RGB-D Azure Kinect cameras to be processed for fruit size and fruit yield estimation.
Juan Carlos Miranda +4 more
doaj +1 more source