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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /


IMPACT FACTOR 2017: 1.096
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1862-278X
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Volume 62, Issue 3

Issues

Volume 57 (2012)

Feasibility study of using a Microsoft Kinect for virtual coaching of wheelchair transfer techniques

Seonhong Hwang
  • Department of Physical Therapy, Hoseo University, 20 Hoseo-ro 79 beon-gil, Baebang-eup, Asan-si, Chungcheongnam-do, 31499, South Korea
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Chung-Ying Tsai
  • Human Engineering Research Laboratories, Rehabilitation Research and Development Service, Department of Veterans Affairs, Pittsburgh, PA, USA
  • Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA, USA
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Alicia M. Koontz
  • Corresponding author
  • Department of Rehabilitation Science and Technology, University of Pittsburgh, Pittsburgh, PA, USA
  • Human Engineering Research Laboratories, Rehabilitation Research and Development Service, Department of Veterans Affairs, VA Pittsburgh Healthcare System, 6425 Penn Ave, Suite 400, Pittsburgh, PA 15206, USA
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2016-06-22 | DOI: https://doi.org/10.1515/bmt-2015-0206

Abstract

The purpose of this study was to test the concurrent validity and test-retest reliability of the Kinect skeleton tracking algorithm for measurement of trunk, shoulder, and elbow joint angle measurement during a wheelchair transfer task. Eight wheelchair users were recruited for this study. Joint positions were recorded simultaneously by the Kinect and Vicon motion capture systems while subjects transferred from their wheelchairs to a level bench. Shoulder, elbow, and trunk angles recorded with the Kinect system followed a similar trajectory as the angles recorded with the Vicon system with correlation coefficients that are larger than 0.71 on both sides (leading arm and trailing arm). The root mean square errors (RMSEs) ranged from 5.18 to 22.46 for the shoulder, elbow, and trunk angles. The 95% limits of agreement (LOA) for the discrepancy between the two systems exceeded the clinical significant level of 5°. For the trunk, shoulder, and elbow angles, the Kinect had very good relative reliability for the measurement of sagittal, frontal and horizontal trunk angles, as indicated by the high intraclass correlation coefficient (ICC) values (>0.90). Small standard error of the measure (SEM) values, indicating good absolute reliability, were observed for all joints except for the leading arm’s shoulder joint. Relatively large minimal detectable changes (MDCs) were observed in all joint angles. The Kinect motion tracking has promising performance levels for some upper limb joints. However, more accurate measurement of the joint angles may be required. Therefore, understanding the limitations in precision and accuracy of Kinect is imperative before utilization of Kinect.

Keywords: concurrent validity; joint angle; Kinect; test-retest reliability; wheelchair transfer

References

  • [1]

    Bayley JC, Cochran TP, Sledge CB. The weight-bearing shoulder. The impingement syndrome in paraplegics. J Bone Joint Surg Am 1987; 69: 676–678.CrossrefGoogle Scholar

  • [2]

    Boninger ML, Waters RL, Chase T, et al. Preservation of upper limb function following spinal cord injury: a clinical practice guideline for healthcare professionals. J Spinal Cord Med 2005; 28: 434–470.CrossrefGoogle Scholar

  • [3]

    Bonnechere B, Jansen B, Salvia P, et al. Validity and reliability of the Kinect within functional assessment activities: comparison with standard stereophotogrammetry. Gait Posture 2014; 39: 593–598.Web of ScienceCrossrefGoogle Scholar

  • [4]

    Clark RA, Pua YH, Fortin K, et al. Validity of the Microsoft Kinect for assessment of postural control. Gait Posture 2012; 36: 372–377.Web of ScienceCrossrefGoogle Scholar

  • [5]

    Crawford NR, Yamaguchi GT, Dickman CA. A new technique for determining 3-D joint angles: the tilt/twist method. Clin Biomech (Bristol, Avon) 1999; 14: 153–165.CrossrefGoogle Scholar

  • [6]

    Dalyan M, Cardenas DD, Gerard B. Upper extremity pain after spinal cord injury. Spinal Cord 1999; 37: 191–195.CrossrefGoogle Scholar

  • [7]

    Finley MA, McQuade KJ, Rodgers MM. Scapular kinematics during transfers in manual wheelchair users with and without shoulder impingement. Clin Biomech 2005; 20: 32–40.CrossrefGoogle Scholar

  • [8]

    Gagnon D, Nadeau S, Noreau L, Dehail P, Piotte F. Comparison of peak shoulder and elbow mechanical loads during weight-relief lifts and sitting pivot transfers among manual wheelchair users with spinal cord injury. J Rehabil Res Dev 2008; 45: 863–873.Web of ScienceCrossrefGoogle Scholar

  • [9]

    Hogaboom NS, Fullerton BF, Rice LA, Oyster ML, Boninger ML. Ultrasound changes, pain, and pathology in shoulder tendons after repeated wheelchair transfers. RESNA International Conference on Technology and Disability, Bellevue, WA, June 20–24, 2013.Google Scholar

  • [10]

    Koontz AM, Lin YS, Kankipati K, Boninger ML, Cooper RA. Development of custom measurement system for biomechanical evaluation of independent wheelchair transfers. J Rehabil Res Dev 2011; 48: 1015–1028.Web of ScienceCrossrefGoogle Scholar

  • [11]

    Kozlowski AJ, Heinemann AW. Using individual growth curve models to predict recovery and activities of daily living after spinal cord injury: an SCIRehab project study. Arch Phys Med Rehabil 2013; 94(4 Suppl): S154–S164.Web of ScienceCrossrefGoogle Scholar

  • [12]

    Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33: 159–174.CrossrefGoogle Scholar

  • [13]

    Martin Bland J, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 327: 307–310.CrossrefGoogle Scholar

  • [14]

    McClure LA, Boninger ML, Ozawa H, Koontz A. Reliability and validity analysis of the Transfer Assessment Instrument. Arch Phys Med Rehbil 2011; 92: 499–508.CrossrefGoogle Scholar

  • [15]

    Miles R. Start Here! Learn the Kinect API. Sebastopol, CA, USA: Microsoft Press 2012.Google Scholar

  • [16]

    Mobini A, Behzadipour S, Saadat Foumani S. Accuracy of Kinect’s skeleton tracking for upper body rehabilitation applications. Disabil Rehabil Assist Technol 2013; 9: 344–352.CrossrefGoogle Scholar

  • [17]

    National Spinal Cord Injury Statistical Center, University of Alabama at Birmingham, Annual Statistical Report – Facts and Figures at a Glance, Available at: http://www.nscisc.uab.edu/reports.aspx, Updated 2013.

  • [18]

    Nixon M, Chen Y, Howard A. Quantitative evaluation of the microsoft Kinect for use in an upper extremity virtual rehabilitation environment. International Conference on Virtual Rehabilitation (ICVR), Philadelphia, PA, May 2013.Google Scholar

  • [19]

    Pentland W, Twomey LT. The weight-bearing upper extremity in women with long-term paraplegia. Paraplegia 1991; 29: 521–530.CrossrefGoogle Scholar

  • [20]

    Rice LA, Smith I, Kelleher AR, Greenwald K, Boninger ML. Impact of a wheelchair education protocol based on practice guidelines for preservation of upper-limb function: a randomized trial. Arch Phys Med Rehabil 2014; 95: 10–19.e11.CrossrefWeb of ScienceGoogle Scholar

  • [21]

    Rintala DH, Loubser PG, Castro J, Hart KA, Fuhrer MJ. Chronic pain in a community-based sample of men with spinal cord injury: prevalence, severity, and relationship with impairment, disability, handicap, and subjective well-being. Arch Phys Med Rehabil 1998; 79: 604–614.CrossrefGoogle Scholar

  • [22]

    Saiyi Li, Pathirana PN, Caelli T. Multi-kinect skeleton fusion for physical rehabilitation monitoring. Conf Proc IEEE Eng Med Biol Soc 2014; 2014: 5060–5063.Google Scholar

  • [23]

    Saverino A, Benevolo E, Ottonello M, Zsirai E, Sessarego P. Falls in a rehabilitation setting: functional independence and fall risk. Europa Medicophysica 2006; 42: 179–184.Google Scholar

  • [24]

    Schmitz A, Ye M, Shapiro R, Yang R, Noehren B. Accuracy and repeatability of joint angles measured using a single camera markerless motion capture system. J Biomech 2014; 47: 587–591.CrossrefWeb of ScienceGoogle Scholar

  • [25]

    Shum HPH, Ho ESL, Jiang Y, Takagi S. Real-time posture reconstruction for Microsoft Kinect. IEEE Trans Cybern 2013; 43: 1357–1369.CrossrefGoogle Scholar

  • [26]

    Stone EE, Skubic M. Passive in-home measurement of stride-to-stride gait variability comparing vision and Kinect sensing. Conf Proc IEEE Eng Med Biol Soc 2011; 2011: 6491–6494.Google Scholar

  • [27]

    Stratford PW, Binkley J, Solomon P, Finch E, Gill C, Moreland J. Defining the minimum level of detectable change for the Roland-Morrisquestionnaire. Phys Ther 1996; 76: 359–65 [discussion 366–8].Google Scholar

  • [28]

    Stratford PW, Binkley JM, Riddle DL. Health status measures: strate-gies and analytic methods for assessing change scores. Phys Ther 1996; 76: 1109–1123.CrossrefGoogle Scholar

  • [29]

    World Health Organization. Guidelines on the provision of wheelchairs in less-resourced settings, Available at: http://www.who.int/disabilities/publications/technology/wheelchairguidelines/en/. Accessed October 10, 2013.

  • [30]

    Wu G, Cavanagh PR. ISB recommendations for standardization in the reporting of kinematic data. J Biomech 1995; 28: 1257–1261.CrossrefGoogle Scholar

  • [31]

    Wu G, van der Helm FC, Veeger HE, et al. International Society of Biomechanics, ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion – Part II: shoulder, elbow, wrist and hand. J Biomech 2005; 38: 981–992.CrossrefGoogle Scholar

About the article

Corresponding author: Alicia M. Koontz, PhD, RET, Human Engineering Research Laboratories, Rehabilitation Research and Development Service, Department of Veterans Affairs, VA Pittsburgh Healthcare System, 6425 Penn Ave, Suite 400, Pittsburgh, PA 15206, USA, Phone: +412-822-3700, Fax: +412-822-3699


Received: 2015-11-03

Accepted: 2016-05-23

Published Online: 2016-06-22

Published in Print: 2017-05-24


Funding Source: National Science Foundation

Award identifier / Grant number: EEC 0552351

This material is based upon work supported by the Department of Veterans Affairs (A4489R) and the National Science Foundation, Project EEC 0552351. The contents of this paper do not represent the views of the Department of Veterans Affairs or the United States Government.


Conflict of interest: The authors declare that there is no conflict of interests regarding the publication of this article.


Citation Information: Biomedical Engineering / Biomedizinische Technik, Volume 62, Issue 3, Pages 307–313, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/bmt-2015-0206.

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