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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Relation between index finger width and hand width anthropometric measures.

Sashidharan Komandur1, Peter W Johnson, Richard L Storch

  • 1Industrial and Systems Engineering Dept., University of Washington, Seattle, WA. 98195, USA. alexkom@u.washngton.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
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This study presents two models to predict finger width using hand width. This helps estimate detailed finger measurements from historical hand data for device design.

Area of Science:

  • Human Factors Engineering
  • Anthropometry
  • Biomechanics

Background:

  • Accurate hand and finger anthropometry is crucial for designing handheld devices.
  • Existing datasets often lack detailed finger measurements, hindering design optimization.
  • Understanding gender-specific finger dimensions is vital for device usability.

Purpose of the Study:

  • To compare two empirical linear models for predicting index finger width at the proximal interphalangeal (PIP) joint.
  • To establish a method for deriving finger anthropometry from readily available hand dimensions.
  • To facilitate the use of historical hand anthropometry data for modern design applications.

Main Methods:

  • Development and comparison of two empirical linear regression models.

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  • Prediction of index finger width (proximal interphalangeal joint) using hand width.
  • Validation of models using existing anthropometric datasets.
  • Main Results:

    • Both models demonstrated a statistically significant correlation between hand width and index finger width.
    • Model 1 showed a slightly higher predictive accuracy for index finger width.
    • The models provide a reliable method for estimating finger dimensions from hand width.

    Conclusions:

    • Empirical linear models can effectively predict index finger width from hand width.
    • This approach allows for the estimation of crucial finger anthropometry from historical data.
    • Findings support improved design of handheld devices by incorporating detailed finger measurements.