ArticlePloS one2018
Investigating the impact of a motion capture system on Microsoft Kinect v2 recordings: A caution for using the technologies together.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
14 citing papers in PubMed, 35 citations in OpenAlex.
- 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
- Article
- A Six-Tap iToF Imager with Wide Signal Intensity Range Using Linearization of Linear-Logarithmic Response.Sensors (Basel, Switzerland) · 2025Article
- Assessing single camera markerless motion capture with OpenSim inverse kinematics during upper limb activities of daily living.International biomechanics · 2025Article
- VALD HumanTrak Measures Valid Hip and Knee Joint Angles With and Without Body Armor.Military medicine · 2025Article
- Analysis of anthropometric measurements in U-15 female weightlifters using Kinect camera and comparison with traditional methods.Medical & biological engineering & computing · 2025Article
- Article
- Agreement between Azure Kinect and Marker-Based Motion Analysis during Functional Movements: A Feasibility Study.Sensors (Basel, Switzerland) · 2022Article
- Markerless 3D Skeleton Tracking Algorithm by Merging Multiple Inaccurate Skeleton Data from Multiple RGB-D Sensors.Sensors (Basel, Switzerland) · 2022Article
- Use of the Azure Kinect to measure foot clearance during obstacle crossing: A validation study.PloS one · 2022Article
- A Method for Measuring Contact Points in Human-Object Interaction Utilizing Infrared Cameras.Frontiers in robotics and AI · 2021Review
- A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport.Frontiers in sports and active living · 2021Review
- 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.Sensors (Basel, Switzerland) · 2020Article
- Design of a Smartphone Indoor Positioning Dynamic Ground Truth Reference System Using Robust Visual Encoded Targets.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microsoft Kinect sensors are considered to be low-cost popular RGB-D sensors and are widely employed in various applications. Consequently, several studies have been conducted to evaluate the reliability and validity of Microsoft Kinect sensors, and noise models have been proposed for the sensors. Several studies utilized motion capture systems as a golden standard to assess the Microsoft Kinect sensors, and none of them reported interference between Kinect sensors and motion capture systems. This study aimed to investigate possible interference between a golden standard (i.e., Qualisys) and Microsoft Kinect v2. The depth recordings of Microsoft Kinect sensors were processed to estimate the intensity of interference. A flat non-reflective surface was utilized, and smoothness of the surface was measured using Microsoft Kinect v2 in absence and presence of an active motion capture system. The recording was repeated in five different distances. The results indicated that Microsoft Kinect v2 is distorted by the motion capture system and the distortion is increasing by increasing distance between Kinect and region of interest. Regarding the results, it can be concluded that the golden standard motion capture system is robust against interference from the Microsoft Kinect sensors.
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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.