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    Area of Science:

    • Biomedical Engineering
    • Computer Graphics
    • Human Factors

    Background:

    • Accurate human body shape representation is crucial for various applications, including ergonomics and medical device design.
    • Existing statistical models often lack comprehensive representation of diverse populations, particularly the elderly with characteristic postural changes.

    Purpose of the Study:

    • To develop a statistical human body shape model incorporating elderly individuals.
    • To enable intuitive manipulation of body shape using anthropometric parameters and easily measurable attributes.
    • To demonstrate the model's utility in simulating biomechanical scenarios, such as assistive device interactions.

    Main Methods:

    • Construction of a statistical model using principal component analysis (PCA) on 3D body scan data from approximately 130 individuals.
    • Pre-processing involved fitting a template mesh to 3D scans using a coarse-to-fine surface registration with conformal deformation for pose normalization.
    • Linear transformations were derived between anthropometric parameters (age, weight, height, shoulder width) and the principal component scores for user-driven shape modification.

    Main Results:

    • A functional human body shape model was created, successfully capturing the physical characteristics of elderly individuals, including stooped shoulders and bent backs.
    • A user interface was developed, allowing for easy generation of diverse body styles through parameter manipulation.
    • The model's application in forward dynamics simulations demonstrated its capability to visualize changes in contact pressure distribution due to body shape variations in assistive device settings.

    Conclusions:

    • The developed statistical body shape model provides a robust and adaptable tool for representing diverse human physiques, with a notable inclusion of elderly populations.
    • The model facilitates intuitive body shape generation and modification, offering significant potential for personalized design in ergonomics, virtual reality, and assistive technology.
    • The successful application in biomechanical simulations highlights the model's value in understanding the impact of body shape on human-device interactions.