Statistical Human Body Shape Model including Elderly People

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.