Results 31 to 40 of about 31,905 (134)

Validation of Azure Kinect for Upper Limb Motion Analysis Under Optimal and Suboptimal Conditions [PDF]

Sensors
Veronica Cimolin, Alessandra Pedrocchi, Emilia Ambrosini   +2 more
exaly   +2 more sources

CWIPC Azure Kinect capture module

, 2021
CWI Point Cloud library - Capture pointclouds using Microsoft Kinect Azure cameras. Github release of v6.4_stable release on GitLab, for Zenodo archiving.
Kuijk, Fons, CWI DIS Group, Jansen, Jack, Kami, Marc, Subramanyam, Shishir, Reimat, Ignacio   +5 more
core   +2 more sources

EVALUATION AND COMPARISON OF DIFFERENT TIME OF FLIGHT CAMERAS FOR OUTDOOR APPLICATIONS [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Time-of-Flight (ToF) cameras have gained prominence in robotics, augmented reality, and gesture recognition due to their costeffective direct measurement of 3D environments.
Z. Qiu, Z. Qiu, J. Martínez-Sánchez, P. Arias   +3 more
doaj   +1 more source

Locations of Qualisys markers and artificial anatomical landmarks from the Kinect 2 and Azure Kinect.

, 2023
Locations of Qualisys markers and artificial anatomical landmarks from the Kinect 2 and Azure Kinect.
Max Wuehr (618771), Ante Jelusic (14510021), Roman Schniepp (618770), Sebastian Mansow-Model (3353147), Karen Otte (3353156), Theresa Krüger (3638452), Johannes Bertram (14510015), Hanna Marie Röhling (14510018)   +7 more
core   +1 more source

Comparison technical specifications for Kinect 2 and Azure Kinect in near field of view mode (NFOV).

, 2023
Comparison technical specifications for Kinect 2 and Azure Kinect in near field of view mode (NFOV).
Max Wuehr (618771), Ante Jelusic (14510021), Roman Schniepp (618770), Sebastian Mansow-Model (3353147), Karen Otte (3353156), Theresa Krüger (3638452), Johannes Bertram (14510015), Hanna Marie Röhling (14510018)   +7 more
core   +1 more source

Comparison of Kinect version 2 and Azure Kinect infrared and depth images.

, 2023
The recording angle slightly differs between both sensors, resulting in more pronounced distortions of the walls in Azure Kinect images. (TIF)
Max Wuehr (618771), Ante Jelusic (14510021), Roman Schniepp (618770), Sebastian Mansow-Model (3353147), Karen Otte (3353156), Theresa Krüger (3638452), Johannes Bertram (14510015), Hanna Marie Röhling (14510018)   +7 more
core   +1 more source

Reliability of 3D Depth Motion Sensors for Capturing Upper Body Motions and Assessing the Quality of Wheelchair Transfers

Sensors, 2022
Wheelchair users must use proper technique when performing sitting-pivot-transfers (SPTs) to prevent upper extremity pain and discomfort. Current methods to analyze the quality of SPTs include the TransKinect, a combination of machine learning (ML ...
Alicia Marie Koontz, Ahlad Neti, Cheng-Shiu Chung, Nithin Ayiluri, Brooke A. Slavens, Celia Genevieve Davis, Lin Wei   +6 more
doaj   +1 more source

AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments

SoftwareX, 2022
The emergence of low-cost 3D sensors, and particularly RGB-D cameras, together with recent advances in artificial intelligence, is currently driving the development of in-field methods for fruit detection, size measurement and yield estimation.
Juan Carlos Miranda, Jordi Gené-Mola, Jaume Arnó, Eduard Gregorio   +3 more
doaj   +1 more source

Toward physically realistic vision in teleoperation: A user study with light‐field head mounted display and 6‐DoF head motion

Journal of the Society for Information Display, Volume 31, Issue 12, Page 663-674, December 2023., 2023
The presented study with light‐field acquisition and rendering was conducted with n=28 test‐subjects performing a tele‐robotic depth matching task based on a 2.5D visualization of the robotic environment. Light‐field: The user study showed that light‐field (LF) head‐mounted displays reduce workload.
Nicolai Bechtel, Bernhard Weber, Pascal Severin, Jaime Sancho Aragon, Laurie Van Bogaert, Michael Panzirsch   +5 more
wiley   +1 more source

Signal-to-noise ratios (SNR) of Qualisys marker movements and anatomical landmark movements from Kinect v2 and Azure Kinect where higher SNR indicate higher agreement between systems.

, 2023
Signal-to-noise ratios (SNR) of Qualisys marker movements and anatomical landmark movements from Kinect v2 and Azure Kinect where higher SNR indicate higher agreement between systems.
Max Wuehr (618771), Ante Jelusic (14510021), Roman Schniepp (618770), Sebastian Mansow-Model (3353147), Karen Otte (3353156), Theresa Krüger (3638452), Johannes Bertram (14510015), Hanna Marie Röhling (14510018)   +7 more
core   +1 more source