ArticleSensors (Basel, Switzerland)2020
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.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 1 of them a synthesis that pooled it.
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Who cites it
105 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Accuracy, Validity, and Reliability of Markerless Camera-Based 3D Motion Capture Systems versus Marker-Based 3D Motion Capture Systems in Gait Analysis: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2024Pooled it
- A Preliminary Concurrent Validation of a Portable Markerless Motion Capture System Against Three-Dimensional Gait Analysis Following Total Hip and Knee Arthroplasty.Sensors (Basel, Switzerland) · 2026Article
- Evaluation Protocols and Validation for Cameras in Indoor Healthcare Monitoring.Sensors (Basel, Switzerland) · 2026Article
- From Optical to AI-Driven Markerless Motion Capture in Motor Learning and Rehabilitation.Bioengineering (Basel, Switzerland) · 2026Review
- Validation of Azure Kinect for Upper Limb Motion Analysis Under Optimal and Suboptimal Conditions.Sensors (Basel, Switzerland) · 2026Article
- Spatiotemporal attention-based dance motion recognition and intelligent correction system using 3D motion capture.Scientific reports · 2026Article
- Comparison of hip and knee range of motion measurements using Azure Kinect and a digital goniometer in elite female weightlifters.Scientific reports · 2026Article
- Beyond spasticity reduction: botulinum toxin-a injection is associated with changes in abnormal flexor synergies of the upper limb in chronic stroke.Journal of rehabilitation medicine · 2026Article
- Depth Sensor-Based Instrumentation of the Fukuda Stepping Test: Reliability and Clinical Associations in Older Adults.Sensors (Basel, Switzerland) · 2026Article
- Video-Based Motion Capture Smartphone Apps for Testing Human Motor Performance Skills: Scoping Review.JMIR mHealth and uHealth · 2026Article
- From RGB-D to RGB-Only: Reliability and Clinical Relevance of Markerless Skeletal Tracking for Postural Assessment in Parkinson's Disease.Sensors (Basel, Switzerland) · 2026Article
- Interpretable Biomechanical Feature Selection for VR Exercise Assessment Using SHAP and LDA.Sensors (Basel, Switzerland) · 2026Article
- Article
- Validation of Azure Kinect for upper limb kinematic assessment after arthroscopic rotator cuff repair: task-dependent accuracy and postoperative overestimation.Frontiers in bioengineering and biotechnology · 2026Article
- Comparison of deep learning-based three-dimensional human pose estimation methods with motion capture for gesture research.PloS one · 2026Article
- Development and validation of a multi-modal contactless sensing system for surgical risk analysis in a real-world environment.PLOS digital health · 2025Article
- Comparison of Wearable and Depth-Sensing Technologies with Electronic Walkway for Comprehensive Gait Analysis.Sensors (Basel, Switzerland) · 2025Article
- 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
- Operatic Singing Biomechanics: Skeletal Tracking Sensor Integration for Pedagogical Innovation.Sensors (Basel, Switzerland) · 2025Article
- Optical Sensor-Based Approaches in Obesity Detection: A Literature Review of Gait Analysis, Pose Estimation, and Human Voxel Modeling.Sensors (Basel, Switzerland) · 2025Review
45 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 enable a wide range of clinical and health-related applications, such as patient monitoring or exercise recognition at home. In this study, we evaluated the motion tracking performance of the latest generation of the Microsoft Kinect camera, Azure Kinect, compared to its predecessor Kinect v2 in terms of treadmill walking using a gold standard Vicon multi-camera motion capturing system and the 39 marker Plug-in Gait model. Five young and healthy subjects walked on a treadmill at three different velocities while data were recorded simultaneously with all three camera systems. An easy-to-administer camera calibration method developed here was used to spatially align the 3D skeleton data from both Kinect cameras and the Vicon system. With this calibration, the spatial agreement of joint positions between the two Kinect cameras and the reference system was evaluated. In addition, we compared the accuracy of certain spatio-temporal gait parameters, i.e., step length, step time, step width, and stride time calculated from the Kinect data, with the gold standard system. Our results showed that the improved hardware and the motion tracking algorithm of the Azure Kinect camera led to a significantly higher accuracy of the spatial gait parameters than the predecessor Kinect v2, while no significant differences were found between the temporal parameters. Furthermore, we explain in detail how this experimental setup could be used to continuously monitor the progress during gait rehabilitation in older people.
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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.