Sensor Data Fusion Framework to Improve

Report No. ARL-TR-8387
Authors: Simon Su; Sue Kase
Date/Pages: June 2018; 23 pages
Abstract: Human body models are currently used to evaluate the body's response to a variety of threats to the Soldier. The ability to adjust the size of human body models is currently limited because of the complex shape changes that are required. Here, a radial basis function interpolation method is used to morph the shape on an existing finite element mesh. Tools are developed and integrated into the Blender computer graphics software to assist with defining the morph. These tools allow an existing human body model to be scaled to better capture the full range of variability that exists in the human population. The ability to better represent human variability will allow for improved comparison to validation experiments and additional insight into the effect of body shape to specific threats.
Distribution: Approved for public release
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Last Update / Reviewed: June 1, 2018