Literature DB >> 25047828

Evaluation of the Microsoft Kinect as a clinical assessment tool of body sway.

L F Yeung1, Kenneth C Cheng2, C H Fong1, Winson C C Lee1, Kai-Yu Tong3.   

Abstract

Total body center of mass (TBCM) is a useful kinematic measurement of body sway. However, expensive equipment and high technical requirement limit the use of motion capture systems in large-scale clinical settings. Center of pressure (CP) measurement obtained from force plates cannot accurately represent TBCM during large body sway movement. Microsoft Kinect is a rapidly developing, inexpensive, and portable posturographic device, which provides objective and quantitative measurement of TBCM sway. The purpose of this study was to evaluate Kinect as a clinical assessment tool for TBCM sway measurement. The performance of the Kinect system was compared with a Vicon motion capture system and a force plate. Ten healthy male subjects performed four upright quiet standing tasks: (1) eyes open (EOn), (2) eyes closed (ECn), (3) eyes open standing on foam (EOf), and (4) eyes closed standing on foam (ECf). Our results revealed that the Kinect system produced highly correlated measurement of TBCM sway (mean RMSE=4.38 mm; mean CORR=0.94 in Kinect-Vicon comparison), as well as comparable intra-session reliability to Vicon. However, the Kinect device consistently overestimated the 95% CL of sway by about 3mm. This offset could be due to the limited accuracy, resolution, and sensitivity of the Kinect sensors. The Kinect device was more accurate in the medial-lateral than in the anterior-posterior direction, and performed better than the force plate in more challenging balance tasks, such as (ECf) with larger TBCM sway. Overall, Kinect is a cost-effective alternative to a motion capture and force plate system for clinical assessment of TBCM sway.
Copyright © 2014 Elsevier B.V. All rights reserved.

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Year:  2014        PMID: 25047828     DOI: 10.1016/j.gaitpost.2014.06.012

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  17 in total

1.  Random forest-based classsification and analysis of hemiplegia gait using low-cost depth cameras.

Authors:  Guoliang Luo; Yean Zhu; Rui Wang; Yang Tong; Wei Lu; Haolun Wang
Journal:  Med Biol Eng Comput       Date:  2019-12-18       Impact factor: 2.602

2.  Accuracy and Reliability of the Kinect Version 2 for Clinical Measurement of Motor Function.

Authors:  Karen Otte; Bastian Kayser; Sebastian Mansow-Model; Julius Verrel; Friedemann Paul; Alexander U Brandt; Tanja Schmitz-Hübsch
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

3.  Reliability and validity of a novel Kinect-based software program for measuring posture, balance and side-bending.

Authors:  Wilhelmus Johannes Andreas Grooten; Lisa Sandberg; John Ressman; Nicolas Diamantoglou; Elin Johansson; Eva Rasmussen-Barr
Journal:  BMC Musculoskelet Disord       Date:  2018-01-08       Impact factor: 2.362

4.  Using data from the Microsoft Kinect 2 to determine postural stability in healthy subjects: A feasibility trial.

Authors:  Behdad Dehbandi; Alexandre Barachant; Anna H Smeragliuolo; John Davis Long; Silverio Joseph Bumanlag; Victor He; Anna Lampe; David Putrino
Journal:  PLoS One       Date:  2017-02-14       Impact factor: 3.240

5.  Evaluation of Kinect 3D Sensor for Healthcare Imaging.

Authors:  Stefanie T L Pöhlmann; Elaine F Harkness; Christopher J Taylor; Susan M Astley
Journal:  J Med Biol Eng       Date:  2016-12-09       Impact factor: 1.553

6.  Reliability and validity of a novel Kinect-based software program for measuring a single leg squat.

Authors:  John Ressman; Eva Rasmussen-Barr; Wilhelmus Johannes Andreas Grooten
Journal:  BMC Sports Sci Med Rehabil       Date:  2020-05-11

7.  Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson's Disease.

Authors:  Claudia Ferraris; Roberto Nerino; Antonio Chimienti; Giuseppe Pettiti; Nicola Cau; Veronica Cimolin; Corrado Azzaro; Lorenzo Priano; Alessandro Mauro
Journal:  Sensors (Basel)       Date:  2019-03-05       Impact factor: 3.576

8.  A new process to measure postural sway using a Kinect depth camera during a Sensory Organisation Test.

Authors:  Sean Maudsley-Barton; Moi Hoon Yap; Anthony Bukowski; Richard Mills; Jamie McPhee
Journal:  PLoS One       Date:  2020-02-05       Impact factor: 3.240

9.  Emotion recognition using Kinect motion capture data of human gaits.

Authors:  Shun Li; Liqing Cui; Changye Zhu; Baobin Li; Nan Zhao; Tingshao Zhu
Journal:  PeerJ       Date:  2016-09-15       Impact factor: 2.984

10.  Reliability of measurement of active trunk movement in wheelchair basketball players.

Authors:  Jolanta Marszałek; Bartosz Molik
Journal:  PLoS One       Date:  2019-11-21       Impact factor: 3.240

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