Inertial biometry from commercial 3D body meshes

Area of Science:

• Biomechanics
• Anthropometry
• 3D Modeling

Background:

• Accurate inertial parameters are crucial for kinetics and biomechanical analyses.
• Previous methods for obtaining inertial parameters were limited to a few species and required cadavers or complex imaging.
• Existing techniques restricted the scope of biomechanical research, especially concerning variations in body size and shape.

Purpose of the Study:

• To present a novel methodology for estimating body segment inertial parameters from commercial 3D meshes.
• To enable the expansion of inertial biometry to a wider range of species and body types.
• To facilitate biomechanical research involving dynamic movements and external tools.

Main Methods:

• Utilizing commercial 3D body meshes that can be manipulated and posed using an underlying skeletal structure.
• Describing a detailed sequence of steps for virtually segmenting meshes and estimating inertial properties.
• Validating the method by comparing estimated parameters with published real-world data for humans, horses, and cats.

Main Results:

• The proposed method accurately estimates inertial parameters for various body segments.
• The accuracy was confirmed through comparative analysis with existing datasets for multiple species.
• The technique provides a viable alternative to traditional, more restrictive methods.

Conclusions:

• This 3D mesh-based approach offers a versatile and scalable solution for inertial biometry.
• It significantly broadens the possibilities for biomechanics research, particularly in comparative studies and analyses involving external devices.
• The methodology allows for the inclusion of diverse body morphologies and dynamic posing in kinetic calculations.