ArticleApplied bionics and biomechanics2019
Validity and Reliability of Upper Limb Functional Assessment Using the Microsoft Kinect V2 Sensor.
Article in Applied bionics and biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 91 citations in OpenAlex.
- 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
- The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2021Pooled it
- Development of virtual reality in the upper extremities function in children with Cerebral Palsy. A pilot randomized controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- Accurate Shoulder Angles Can Be Detected in Single Plane Motions While Body Armor is Worn: A Validation of the HumanTrak Markerless Motion Capture System.Military medicine · 2026Article
- Validation of Azure Kinect for Upper Limb Motion Analysis Under Optimal and Suboptimal Conditions.Sensors (Basel, Switzerland) · 2026Article
- On the Use of a Depth Camera for the Assessment of Upper Extremity Movements in Healthy Individuals.Sensors (Basel, Switzerland) · 2026Article
- 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
- The Future of Clinical Active Shoulder Range of Motion Assessment, Best Practice, and Its Challenges: Narrative Review.Sensors (Basel, Switzerland) · 2025Review
- Exploring the Potential of AI-Assisted Technology in Joint Range-of-Motion Measurements: A Reliability Study.Medicina (Kaunas, Lithuania) · 2025Article
- Concurrent validity and test reliability of the deep learning markerless motion capture system during the overhead squat.Scientific reports · 2024Article
- Article
- Concurrent Validity of Motion Parameters Measured With an RGB-D Camera-Based Markerless 3D Motion Tracking Method in Children and Young Adults.IEEE journal of translational engineering in health and medicine · 2024Article
- Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis.Heliyon · 2023Article
- Concurrent and Angle-Trajectory Validity and Intra-Trial Reliability of a Novel Multi-View Image-Based Motion Analysis System.Journal of human kinetics · 2023Article
- Validity and Reliability of a Depth Camera-Based Quantitative Measurement for Joint Motion of the Hand.Journal of hand surgery global online · 2023Article
- Novel clinically-relevant assessment of upper extremity movement using depth sensors.Topics in stroke rehabilitation · 2023Article
- A novel method forFrontiers in bioengineering and biotechnology · 2023Article
- Article
- [Follow control of upper limb rehabilitation training based on Kinect and NAO robot].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Exploring agreement and feasibility between virtual home visits and in-person home visits for peritoneal dialysis patients-a paired study.Renal failure · 2022Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo quantify the concurrent accuracy and the test-retest reliability of a Kinect V2-based upper limb functional assessment system. APPROACH: Ten healthy males performed a series of upper limb movements, which were measured concurrently with Kinect V2 and the Vicon motion capture system (gold standard). Each participant attended two testing sessions, seven days apart. Four tasks were performed including hand to contralateral shoulder, hand to mouth, combing hair, and hand to back pocket. Upper limb kinematics were calculated using our developed kinematic model and the UWA model for Kinect V2 and Vicon. The interdevice coefficient of multiple correlation (CMC) and the root mean squared error (RMSE) were used to evaluate the validity of the kinematic waveforms. Mean absolute bias and Pearson's MAIN
resultsBoth validity and reliability are found to be task-dependent and plane-dependent. Kinect V2 had good accuracy in measuring shoulder and elbow flexion/extension angular waveforms (CMC > 0.87), moderate accuracy of measuring shoulder adduction/abduction angular waveforms (CMC = 0.69-0.82), and poor accuracy of measuring shoulder internal/external angles (CMC < 0.6). We also found high test-retest reliability of Kinect V2 in most of the upper limb angular waveforms (CMC = 0.75-0.99), angles at the PTA (ICC = 0.65-0.91), and the ROM (ICC = 0.68-0.96). SIGNIFICANCE: Kinect V2 has great potential as a low-cost, easy implemented device for assessing upper limb angular waveforms when performing functional tasks. The system is suitable for assessing relative within-person change in upper limb motions over time, such as disease progression or improvement due to intervention.
Identifiers
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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.