Reliability and validity of the Microsoft Kinect for assessment of manual wheelchair propulsion

Rachel Milgrom, Matthew Foreman, John Standeven, Jack R. Engsberg, Kerri A. Morgan

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Concurrent validity and test-retest reliability of the Microsoft Kinect in quantification of manual wheelchair propulsion were examined. Data were collected from five manual wheelchair users on a roller system. Three Kinect sensors were used to assess test-retest reliability with a still pose. Three systems were used to assess concurrent validity of the Kinect to measure propulsion kinematics (joint angles, push loop characteristics): Kinect, Motion Analysis, and Dartfish ProSuite (Dartfish joint angles were limited to shoulder and elbow flexion). Intraclass correlation coefficients (ICCs) revealed good reliability (0.87–0.99) between five of the six joint angles (neck flexion, shoulder flexion, shoulder abduction, elbow flexion, wrist flexion). ICCs suggested good concurrent validity for elbow flexion between the Kinect and Dartfish and between the Kinect and Motion Analysis. Good concurrent validity was revealed for maximum height, hand-axle relationship, and maximum area (0.92–0.95) between the Kinect and Dartfish and maximum height and hand-axle relationship (0.89–0.96) between the Kinect and Motion Analysis. Analysis of variance revealed significant differences (p < 0.05) in maximum length between Dartfish (mean 58.76 cm) and the Kinect (40.16 cm). Results pose promising research and clinical implications for propulsion assessment and overuse injury prevention with the application of current findings to future technology.

Original languageEnglish
Pages (from-to)901-918
Number of pages18
JournalJournal of Rehabilitation Research and Development
Volume53
Issue number6
DOIs
StatePublished - Jan 1 2016

Keywords

  • Assessment
  • Dartfish
  • Manual wheelchair
  • Microsoft Kinect
  • Motion analysis
  • Propulsion
  • Reliability
  • Upper limb
  • Validity
  • Video motion capture

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