Literature DB >> 27918704

Comparison of 3D Joint Angles Measured With the Kinect 2.0 Skeletal Tracker Versus a Marker-Based Motion Capture System.

Trent M Guess1, Swithin Razu1, Amirhossein Jahandar1, Marjorie Skubic1, Zhiyu Huo1.   

Abstract

The Microsoft Kinect is becoming a widely used tool for inexpensive, portable measurement of human motion, with the potential to support clinical assessments of performance and function. In this study, the relative osteokinematic Cardan joint angles of the hip and knee were calculated using the Kinect 2.0 skeletal tracker. The pelvis segments of the default skeletal model were reoriented and 3-dimensional joint angles were compared with a marker-based system during a drop vertical jump and a hip abduction motion. Good agreement between the Kinect and marker-based system were found for knee (correlation coefficient = 0.96, cycle RMS error = 11°, peak flexion difference = 3°) and hip (correlation coefficient = 0.97, cycle RMS = 12°, peak flexion difference = 12°) flexion during the landing phase of the drop vertical jump and for hip abduction/adduction (correlation coefficient = 0.99, cycle RMS error = 7°, peak flexion difference = 8°) during isolated hip motion. Nonsagittal hip and knee angles did not correlate well for the drop vertical jump. When limited to activities in the optimal capture volume and with simple modifications to the skeletal model, the Kinect 2.0 skeletal tracker can provide limited 3-dimensional kinematic information of the lower limbs that may be useful for functional movement assessment.

Entities:  

Keywords:  Microsoft Kinect 2.0; drop vertical jump; kinematics

Mesh:

Year:  2016        PMID: 27918704     DOI: 10.1123/jab.2016-0107

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  6 in total

1.  Validation of a Commercially Available Markerless Motion-Capture System for Trunk and Lower Extremity Kinematics During a Jump-Landing Assessment.

Authors:  Timothy C Mauntel; Kenneth L Cameron; Brian Pietrosimone; Stephen W Marshall; Anthony C Hackney; Darin A Padua
Journal:  J Athl Train       Date:  2021-01-22       Impact factor: 2.860

2.  Accuracy and Reliability of Single-Camera Measurements of Ankle Clonus and Quadriceps Hyperreflexia.

Authors:  Keith Macon; Dustin Hoang; Lauren Elizondo; Kerri Kallus; James Sulzer; Kathleen Manella
Journal:  Arch Rehabil Res Clin Transl       Date:  2021-08-19

Review 3.  A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport.

Authors:  Cortney Armitano-Lago; Dominic Willoughby; Adam W Kiefer
Journal:  Front Sports Act Living       Date:  2022-01-25

Review 4.  Review-Emerging Portable Technologies for Gait Analysis in Neurological Disorders.

Authors:  Christina Salchow-Hömmen; Matej Skrobot; Magdalena C E Jochner; Thomas Schauer; Andrea A Kühn; Nikolaus Wenger
Journal:  Front Hum Neurosci       Date:  2022-02-03       Impact factor: 3.169

5.  Validation of a Kinect V2 based rehabilitation game.

Authors:  Mengxuan Ma; Rachel Proffitt; Marjorie Skubic
Journal:  PLoS One       Date:  2018-08-24       Impact factor: 3.240

6.  The Accuracy of the Microsoft Kinect V2 Sensor for Human Gait Analysis. A Different Approach for Comparison with the Ground Truth.

Authors:  Diego Guffanti; Alberto Brunete; Miguel Hernando; Javier Rueda; Enrique Navarro Cabello
Journal:  Sensors (Basel)       Date:  2020-08-07       Impact factor: 3.576

  6 in total

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