Literature DB >> 25271910

Validity and reliability of head posture measurement using Microsoft Kinect.

Baek-Lok Oh1, Jongmin Kim2, Jongshin Kim3, Jeong-Min Hwang1, Jehee Lee2.   

Abstract

AIMS: To investigate the validity and reliability of Microsoft Kinect-based head tracker (KHT) for measuring head posture.
METHODS: Considering the cervical range of motion (CROM) as a reference, one-dimensional and three-dimensional (1D and 3D) head postures of 12 normal subjects (28-58 years of age; 6 women and 6 men) were obtained using the KHT. The KHT was validated by Pearson's correlation coefficient and intraclass correlation (ICC) coefficient. Test-retest reliability of the KHT was determined by its 95% limit of agreement (LoA) with the Bland-Altman plot. Face recognition success rate was evaluated for each head posture.
RESULTS: Measurements of 1D and 3D head posture performed using the KHT were very close to those of the CROM with correlation coefficients of 0.99 and 0.97 (p<0.05), respectively, as well as with an ICC of >0.99 and 0.98, respectively. The reliability tests of the KHT in terms of 1D and 3D head postures had 95% LoA angles of approximately ±2.5° and ±6.5°, respectively.
CONCLUSIONS: The KHT showed good agreement with the CROM and relatively favourable test-retest reliability. Considering its high performance, convenience and low cost, KHT could be clinically used as a head posture-measuring system. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  Child health (paediatrics); Diagnostic tests/Investigation; Muscles; Rehabilitation

Mesh:

Year:  2014        PMID: 25271910     DOI: 10.1136/bjophthalmol-2014-305095

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  2 in total

1.  The Cambridge Face Tracker: Accurate, Low Cost Measurement of Head Posture Using Computer Vision and Face Recognition Software.

Authors:  Peter B M Thomas; Tadas Baltrušaitis; Peter Robinson; Anthony J Vivian
Journal:  Transl Vis Sci Technol       Date:  2016-09-30       Impact factor: 3.283

2.  Is a Depth Camera in Agreement with an Electromagnetic Tracking Device when Measuring Head Position?

Authors:  Vienna-Jaye Burchell; Gemma Arblaster; David Buckley; Jonathan Wheat
Journal:  Br Ir Orthopt J       Date:  2021-11-15
  2 in total

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