ArticleSensors (Basel, Switzerland)2020
The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth.
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 11 papers.
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Who cites it
11 citing papers in PubMed.
- Effects of physical fitness using a Kinect system for pre-frail community-dwelling older adults.Frontiers in public health · 2025Trial
- Optimizing camera placement in multi-view markerless motion capture: a validation study against gold-standard kinematics for static and dynamic tasks.BMC research notes · 2026Article
- Depth Sensor-Based Instrumentation of the Fukuda Stepping Test: Reliability and Clinical Associations in Older Adults.Sensors (Basel, Switzerland) · 2026Article
- Gait Analysis Using an Artificial Intelligence-Based Motion Capture System With a Single Smartphone Camera.Cureus · 2025Article
- Optomechanical Analysis of Gait in Patients with Ankylosing Spondylitis.Sensors (Basel, Switzerland) · 2025Article
- Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening.Sensors (Basel, Switzerland) · 2024Article
- Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis.Heliyon · 2024Article
- Experimental study on stabilometric complex for terrainkur in overweight people.European journal of translational myology · 2023Article
- Usefulness of the Kinect-V2 System for Determining the Global Gait Index to Assess Functional Recovery after Total Knee Arthroplasty.Orthopaedic surgery · 2022Article
- The 2022 On-site Padua Days on Muscle and Mobility Medicine hosts the University of Florida Institute of Myology and the Wellstone Center, March 30 - April 3, 2022 at the University of Padua and Thermae of Euganean Hills, Padua, Italy: The collection of abstracts.European journal of translational myology · 2022Article
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Authors and funding
5 authors.
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Abstract
Several studies have examined the accuracy of the Kinect V2 sensor during gait analysis. Usually the data retrieved by the Kinect V2 sensor are compared with the ground truth of certified systems using a Euclidean comparison. Due to the Kinect V2 sensor latency, the application of a uniform temporal alignment is not adequate to compare the signals. On that basis, the purpose of this study was to explore the abilities of the dynamic time warping (DTW) algorithm to compensate for sensor latency (3 samples or 90 ms) and develop a proper accuracy estimation. During the experimental stage, six iterations were performed using the a dual Kinect V2 system. The walking tests were developed at a self-selected speed. The sensor accuracy for Euclidean matching was consistent with that reported in previous studies. After latency compensation, the sensor accuracy demonstrated considerably lower error rates for all joints. This demonstrated that the accuracy was underestimated due to the use of inappropriate comparison techniques. On the contrary, DTW is a potential method that compensates for the sensor latency, and works sufficiently in comparison with certified systems.
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