Evaluating the Accuracy of the Azure Kinect and Kinect v2 [PDF]
Sensors, 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, Kurillo Gregorij
exaly +6 more sources
How the Processing Mode Influences Azure Kinect Body Tracking Results [PDF]
Sensors, 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
Vincent Quinten +2 more
exaly +6 more sources
Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2 [PDF]
Sensors, 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
exaly +7 more sources
Indoor 3D Reconstruction of Buildings via Azure Kinect RGB-D Camera [PDF]
Sensors, 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 ...
Tania Landes +2 more
exaly +7 more sources
Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis [PDF]
Heliyon, 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 +8 more
doaj +5 more sources
Microsoft Azure Kinect Calibration for Three-Dimensional Dense Point Clouds and Reliable Skeletons [PDF]
Sensors, 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 +4 more sources
Evaluating Automatic Body Orientation Detection for Indoor Location from Skeleton Tracking Data to Detect Socially Occupied Spaces Using the Kinect v2, Azure Kinect and Zed 2i [PDF]
Sensors, 2022 Analysing the dynamics in social interactions in indoor spaces entails evaluating spatial–temporal variables from the event, such as location and time.
Violeta Ana Luz Sosa-León
exaly +4 more sources
Use of the Azure Kinect to measure foot clearance during obstacle crossing: A validation study [PDF]
PLoS ONE, 2022 Obstacle crossing is 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 ...
Kohei Yoshimoto, Masahiro Shinya
doaj +3 more sources
Agreement between Azure Kinect and Marker-Based Motion Analysis during Functional Movements: A Feasibility Study [PDF]
Sensors, 2022 (1) Background: The present study investigated the agreement between the Azure Kinect and marker-based motion analysis during functional movements. (2) Methods: Twelve healthy adults participated in this study and performed a total of six different tasks
Sungbae Jo +3 more
doaj +2 more sources
A dataset of human body tracking of walking actions captured using two Azure Kinect sensors [PDF]
Data 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.
Charli Posner +3 more
doaj +2 more sources