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    Observer performance in estimating upper arm elevation angles under ideal viewing conditions when assisted by posture matching software

    Access Status
    Fulltext not available
    Authors
    Jackson, J.
    Mathiassen, Svend
    Liv, P.
    Date
    2016
    Type
    Journal Article
    
    Metadata
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    Citation
    Jackson, J. and Mathiassen, S. and Liv, P. 2016. Observer performance in estimating upper arm elevation angles under ideal viewing conditions when assisted by posture matching software. Applied Ergonomics. 55: pp. 208-215.
    Source Title
    Applied Ergonomics
    DOI
    10.1016/j.apergo.2016.01.012
    ISSN
    0003-6870
    School
    School of Physiotherapy and Exercise Science
    URI
    http://hdl.handle.net/20.500.11937/68784
    Collection
    • Curtin Research Publications
    Abstract

    © 2016 Elsevier Ltd and The Ergonomics Society. Selecting a suitable body posture measurement method requires performance indices of candidate tools. Such data are lacking for observational assessments made at a high degree of resolution. The aim of this study was to determine the performance (bias and between- and within-observer variance) of novice observers estimating upper arm elevation postures assisted by posture matching software to the nearest degree from still images taken under ideal conditions. Estimates were minimally biased from true angles: the mean error across observers was less than 2°. Variance between observers was minimal. Considerable variance within observers, however, underlined the risk of relying on single observations. Observers were more proficient at estimating 0° and 90° postures, and less proficient at 60°. Thus, under ideal visual conditions observers, on average, proved proficient at high resolution posture estimates; further investigation is required to determine how non-optimal image conditions, as would be expected from occupational data, impact proficiency.

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