Literature DB >> 27004589

The effect of pose variability and repeated reliability of segmental centres of mass acquisition when using 3D photonic scanning.

Chuang-Yuan Chiu1, David L Pease2, Ross H Sanders3.   

Abstract

Three-dimensional (3D) photonic scanning is an emerging technique to acquire accurate body segment parameter data. This study established the repeated reliability of segmental centres of mass when using 3D photonic scanning (3DPS). Seventeen male participants were scanned twice by a 3D whole-body laser scanner. The same operators conducted the reconstruction and segmentation processes to obtain segmental meshes for calculating the segmental centres of mass. The segmental centres of mass obtained from repeated 3DPS were compared by relative technical error of measurement (TEM). Hypothesis tests were conducted to determine the size of change required for each segment to be determined a true variation. The relative TEMs for all segments were less than 5%. The relative changes in centres of mass at ±1.5% for most segments can be detected (p < 0.05). The arm segments which are difficult to keep in the same scanning pose generated more error than other segments. Practitioner Summary: Three-dimensional photonic scanning is an emerging technique to acquire body segment parameter data. This study established the repeated reliability of segmental centres of mass when using 3D photonic scanning and emphasised that the error for arm segments need to be considered while using this technique to acquire centres of mass.

Entities:  

Keywords:  3D photonic scanning; Body segment parameters; anthropometry; biomechanics; reliability

Mesh:

Year:  2016        PMID: 27004589     DOI: 10.1080/00140139.2016.1161245

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  1 in total

1.  A low-cost three-dimensional laser surface scanning approach for defining body segment parameters.

Authors:  Petros Pandis; Anthony Mj Bull
Journal:  Proc Inst Mech Eng H       Date:  2017-08-17       Impact factor: 1.617

  1 in total

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