ArticlePloS one2018
Validation of a Kinect V2 based rehabilitation game.
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 25 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review.Journal of medical Internet research · 2022Pooled it
- Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review.Sensors (Basel, Switzerland) · 2020Pooled 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
- Analysis of anthropometric measurements in U-15 female weightlifters using Kinect camera and comparison with traditional methods.Medical & biological engineering & computing · 2025Article
- Design Guidelines for a Game-Based Physical Rehabilitation System: Focus Group Study.JMIR human factors · 2025Article
- Comparison of Wearable and Depth-Sensing Technologies with Electronic Walkway for Comprehensive Gait Analysis.Sensors (Basel, Switzerland) · 2025Article
- Kinect-based anthropometric measurements: a comparative analysis of traditional methods in youth female weightlifters.BMC sports science, medicine & rehabilitation · 2025Article
- A Game-Based Mechatronic Device for Digital Rehabilitation of Hand Function After a Stroke: Design, Prototyping, and Feasibility Study.JMIR neurotechnology · 2025Article
- An Algorithm for Activity Recognition and Assessment of Adults Poststroke.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2024Article
- Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis.Heliyon · 2024Article
- Detection of mild cognitive impairment using various types of gait tests and machine learning.Frontiers in neurology · 2024Article
- Curve Walking Reveals More Gait Impairments in Older Adults with Mild Cognitive Impairment than Straight Walking: A Kinect Camera-Based Study.Journal of Alzheimer's disease reports · 2024Article
- Novel clinically-relevant assessment of upper extremity movement using depth sensors.Topics in stroke rehabilitation · 2023Article
- Estimation of Reference Values of Gait Spatiotemporal and Kinematic Parameters in the Lower Extremities and Trunk Using a Markerless Motion Capture System for Healthy Older Japanese Adults.Physical therapy research · 2023Article
- Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry.BMC musculoskeletal disorders · 2022Article
- Review on Mandibular Muscle Kinematics.Sensors (Basel, Switzerland) · 2022Review
- Compensating for Soft-Tissue Artifact Using the Orientation of Distal Limb Segments During Electromagnetic Motion Capture of the Upper Limb.Journal of biomechanical engineering · 2022Article
- Markerless 3D Skeleton Tracking Algorithm by Merging Multiple Inaccurate Skeleton Data from Multiple RGB-D Sensors.Sensors (Basel, Switzerland) · 2022Article
- Effects of Mobile-Based Rehabilitation in Adolescent Football Players with Recurrent Lateral Ankle Sprains during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2022Article
- Alzheimer's Disease Detection Using Comprehensive Analysis of Timed Up and Go Test via Kinect V.2 Camera and Machine Learning.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Interactive technologies are beneficial to stroke recovery as rehabilitation interventions; however, they lack evidence for use as assessment tools. Mystic Isle is a multi-planar full-body rehabilitation game developed using the Microsoft Kinect® V2. It aims to help stroke patients improve their motor function and daily activity performance and to assess the motions of the players. It is important that the assessment results generated from Mystic Isle are accurate. The Kinect V2 has been validated for tracking lower limbs and calculating gait-specific parameters. However, few studies have validated the accuracy of the Kinect® V2 skeleton model in upper-body movements. In this paper, we evaluated the spatial accuracy and measurement validity of a Kinect-based game Mystic Isle in comparison to a gold-standard optical motion capture system, the Vicon system. Thirty participants completed six trials in sitting and standing. Game data from the Kinect sensor and the Vicon system were recorded simultaneously, then filtered and sample rate synchronized. The spatial accuracy was evaluated using Pearson's r correlation coefficient, signal to noise ratio (SNR) and 3D distance difference. Each arm-joint signal had an average correlation coefficient above 0.9 and a SNR above 5. The hip joints data had less stability and a large variation in SNR. Also, the mean 3D distance difference of joints were less than 10 centimeters. For measurement validity, the accuracy was evaluated using mean and standard error of the difference, percentage error, Pearson's r correlation coefficient and intra-class correlation (ICC). Average errors of maximum hand extent of reach were less than 5% and the average errors of mean and maximum velocities were about 10% and less than 5%, respectively. We have demonstrated that Mystic Isle provides accurate measurement and assessment of movement relative to the Vicon system.
Indexed as
Identifiers
What OpenQuestion holds
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.