Results 1 to 10 of about 32,236 (142)

Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis [PDF]

open access: yesHeliyon, 2023
Human motion tracking is a valuable task for many medical applications. Marker-based optoelectronic systems are considered the gold standard in human motion tracking. However, their use is not always feasible in clinics and industrial environments.
Cristina Brambilla   +2 more
exaly   +8 more sources

Evaluating the Accuracy of the Azure Kinect and Kinect v2 [PDF]

open access: yesSensors, 2022
The Azure Kinect represents the latest generation of Microsoft Kinect depth cameras. Of interest in this article is the depth and spatial accuracy of the Azure Kinect and how it compares to its predecessor, the Kinect v2.
Gregorij Kurillo
exaly   +5 more sources

How the Processing Mode Influences Azure Kinect Body Tracking Results [PDF]

open access: yesSensors, 2023
The Azure Kinect DK is an RGB-D-camera popular in research and studies with humans. For good scientific practice, it is relevant that Azure Kinect yields consistent and reproducible results. We noticed the yielded results were inconsistent. Therefore, we
Linda Büker   +2 more
exaly   +5 more sources

Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2 [PDF]

open access: yesSensors, 2021
The Azure Kinect is the successor of Kinect v1 and Kinect v2. In this paper we perform brief data analysis and comparison of all Kinect versions with focus on precision (repeatability) and various aspects of noise of these three sensors.
Martin Dekan   +2 more
exaly   +5 more sources

A dataset of human body tracking of walking actions captured using two Azure Kinect sensors [PDF]

open access: yesData in Brief, 2023
A dataset of body tracking information is presented. The dataset consists of 315 captured walking sequences. Each sequence is simultaneously captured by two Azure Kinect devices.
Adrian Sanchez-Mompo, Ioannis Mavromatis
exaly   +5 more sources

Microsoft Azure Kinect Calibration for Three-Dimensional Dense Point Clouds and Reliable Skeletons [PDF]

open access: yesSensors, 2022
Nowadays, the need for reliable and low-cost multi-camera systems is increasing for many potential applications, such as localization and mapping, human activity recognition, hand and gesture analysis, and object detection and localization.
Laura Romeo   +2 more
exaly   +5 more sources

Azure Kinect for joint range of motion analysis: A validity and reliability evaluation in elite female weightlifters. [PDF]

open access: yesPLoS ONE
Kinect is a markerless, portable, and affordable motion analysis tool used in clinical, rehabilitation, and sports settings. This study aimed to assess upper limb (shoulder and elbow) and cervical joint angles in elite female weightlifters using Azure ...
Serkan Örücü   +4 more
doaj   +3 more sources

Indoor 3D Reconstruction of Buildings via Azure Kinect RGB-D Camera [PDF]

open access: yesSensors, 2022
With the development of 3D vision techniques, RGB-D cameras are increasingly used to allow easier and cheaper access to the third dimension. In this paper, we focus on testing the potential of the Kinect Azure RGB-D camera in the 3D reconstruction of ...
chaimaa delasse   +2 more
exaly   +4 more sources

Accuracy and repeatability of the Microsoft Azure Kinect for clinical measurement of motor function. [PDF]

open access: yesPLoS ONE, 2023
Quantitative assessment of motor function is increasingly applied in fall risk stratification, diagnosis, and disease monitoring of neuro-geriatric disorders of balance and gait.
Johannes Bertram   +7 more
doaj   +3 more sources

Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect

open access: yesApplied Sciences (Switzerland), 2021
The Azure Kinect, the successor of Kinect v1 and Kinect v2, is a depth sensor. In this paper we evaluate the skeleton tracking abilities of the new sensor, namely accuracy and precision (repeatability).
Martin Dekan, Ľuboš Chovanec, Michal
exaly   +4 more sources

Home - About - Disclaimer - Privacy