ArticleSensors (Basel, Switzerland)2021
Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validity and reliability of single camera markerless motion capture systems with RGB-D sensors for measuring shoulder range-of-motion: a systematic review.Frontiers in bioengineering and biotechnology · 2025Pooled it
- Synchrony Vision: An RGB-D Sensor-Based System for Real-Time Monitoring and Event-Level Analysis of Interpersonal Motion Synchrony.Sensors (Basel, Switzerland) · 2026Article
- Investigating the Effects of the UniReliever® Knee Brace Using Analysis of a Novel Digital Platform, MAI Motion.Cureus · 2026Article
- A Longitudinal Study of Physical Function Factors Related to Lower Limb Circumduction During Gait in Acute Stroke Patients with Hemiparesis.Sensors (Basel, Switzerland) · 2025Article
- RGB-D Cameras and Brain-Computer Interfaces for Human Activity Recognition: An Overview.Sensors (Basel, Switzerland) · 2025Review
- Video-Based Data-Driven Models for Diagnosing Movement Disorders: Review and Future Directions.Movement disorders : official journal of the Movement Disorder Society · 2025Review
- The State of the Art and Potentialities of UAV-Based 3D Measurement Solutions in the Monitoring and Fault Diagnosis of Quasi-Brittle Structures.Sensors (Basel, Switzerland) · 2025Review
- StructScan3D v1: A First RGB-D Dataset for Indoor Building Elements Segmentation and BIM Modeling.Sensors (Basel, Switzerland) · 2025Article
- Analysis of Kinect-Based Human Motion Capture Accuracy Using Skeletal Cosine Similarity Metrics.Sensors (Basel, Switzerland) · 2025Article
- Improving 3D Reconstruction Through RGB-D Sensor Noise Modeling.Sensors (Basel, Switzerland) · 2025Article
- A Study on the 3D Reconstruction Strategy of a Sheep Body Based on a Kinect v2 Depth Camera Array.Animals : an open access journal from MDPI · 2024Article
- 3D object reconstruction: A comprehensive view-dependent dataset.Data in brief · 2024Article
- Visual Feedback and Guided Balance Training in an Immersive Virtual Reality Environment for Lower Extremity Rehabilitation.Computers & graphics · 2024Article
- Article
- Frontiers in Three-Dimensional Surface Imaging Systems for 3D Face Acquisition in Craniofacial Research and Practice: An Updated Literature Review.Diagnostics (Basel, Switzerland) · 2024Review
- On the Evaluation of Diverse Vision Systems towards Detecting Human Pose in Collaborative Robot Applications.Sensors (Basel, Switzerland) · 2024Article
- Estimation of gait parameters in healthy and hemiplegic individuals using Azure Kinect: a comparative study with the optoelectronic system.Frontiers in bioengineering and biotechnology · 2024Article
- Exergames as a rehabilitation tool to enhance the upper limbs functionality and performance in chronic stroke survivors: a preliminary study.Frontiers in neurology · 2024Article
- Towards comparable quality-assured Azure Kinect body tracking results in a study setting-Influence of light.PloS one · 2024Article
- HoLLiECares - Development of a multi-functional robot for professional care.Frontiers in robotics and AI · 2024Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. Then we thoroughly evaluate the new Azure Kinect; namely its warm-up time, precision (and sources of its variability), accuracy (thoroughly, using a robotic arm), reflectivity (using 18 different materials), and the multipath and flying pixel phenomenon. Furthermore, we validate its performance in both indoor and outdoor environments, including direct and indirect sun conditions. We conclude with a discussion on its improvements in the context of the evolution of the Kinect sensor. It was shown that it is crucial to choose well designed experiments to measure accuracy, since the RGB and depth camera are not aligned. Our measurements confirm the officially stated values, namely standard deviation ≤17 mm, and distance error <11 mm in up to 3.5 meters distance from the sensor in all four supported modes. The device, however, has to be warmed up for at least 40-50 min to give stable results. Due to the time-of-flight technology, the Azure Kinect cannot be reliably used in direct sunlight. Therefore, it is convenient mostly for indoor applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.