Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect
Applied 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).
Michal Tölgyessy +2 more
exaly +4 more sources
Comparing the Drop Vertical Jump Tracking Performance of the Azure Kinect to the Kinect V2 [PDF]
SensorsTraditional motion analysis systems are impractical for widespread screening of non-contact anterior cruciate ligament (ACL) injury risk. The Kinect V2 has been identified as a portable and reliable alternative but was replaced by the Azure Kinect.
Patrik Abdelnour +6 more
doaj +3 more sources
Azure Kinect for joint range of motion analysis: A validity and reliability evaluation in elite female weightlifters. [PDF]
PLoS ONEKinect 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
Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study [PDF]
Sensors, 2020 Gait analysis is an important tool for the early detection of neurological diseases and for the assessment of risk of falling in elderly people. The availability of low-cost camera hardware on the market today and recent advances in Machine Learning ...
Justin Amadeus Albert +5 more
doaj +3 more sources
Towards comparable quality-assured Azure Kinect body tracking results in a study setting-Influence of light. [PDF]
PLoS ONEQuality assurance in research helps to ensure reliability and comparable results within a study. This includes reliable measurement equipment and data-processing.
Linda Büker +4 more
doaj +3 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 +1 more
doaj +3 more sources
Low-cost mobile mapping system solution for traffic sign segmentation using Azure Kinect
International Journal of Applied Earth Observations and Geoinformation, 2022 The mobile mapping system (MMS) could become the foundation of digital twins and 3D modeling, and is widely applicable in a variety of fields, such as infrastructure management, intelligent transportation systems, and smart cities.
Zhouyan Qiu +4 more
doaj +2 more sources
Validation of Azure Kinect for upper limb kinematic assessment after arthroscopic rotator cuff repair: task-dependent accuracy and postoperative overestimation [PDF]
Frontiers in Bioengineering and BiotechnologyIntroductionArthroscopic rotator cuff repair is the standard treatment for rotator cuff tears (RCTs), yet postoperative functional evaluation continues to rely heavily on subjective clinical scales, with limited objective kinematic assessment. This study
Yu-fei Chen +5 more
doaj +2 more sources
Non-Destructive Measurement of the Pumpkin Rootstock Root Phenotype Using AZURE KINECT [PDF]
Plants, 2022 Rootstock grafting is an important method to improve the yield and quality of seedlings. Pumpkin is the rootstock of watermelon, melon, and cucumber, and the root phenotype of rootstock is an important reference for breeding.
Moran Zhang +8 more
doaj +2 more sources
Functional movement screen dataset collected with two Azure Kinect depth sensors [PDF]
Scientific Data, 2022 Measurement(s) 3D joints coordinates • depth images Technology Type(s) depth sensors Factor Type(s) movement performance Sample Characteristic - Organism Homo ...
Qing-Jun Xing +5 more
doaj +2 more sources