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Body Composition

Improvements in 3D Body Shape and Measurement Accuracy from Size Stream

Year
2025
Institution
Size Stream
Topic
Body Composition

Objective

This paper documents the latest advancements to Size Stream’s mobile 3D scanning platform, evaluating improvements in body fat percentage estimation, anthropometric measurement accuracy and repeatability, and 3D body shape reconstruction, particularly for users with high BMI. Using two studies, the research compares production algorithms from early 2025 against updated June and August 2025 releases, benchmarked against DXA and SS20 booth scanner data across a combined cohort of over 100 participants.

Implications

The results position Size Stream’s mobile platform as a clinically meaningful tool for continuous body composition monitoring, achieving body fat mass accuracy on par with high-end bioimpedance devices, at a fraction of the cost and without radiation exposure. In the context of semaglutide-based weight loss treatments and the growing demand for frequent, non-invasive health tracking, these improvements make mobile 3D scanning a compelling alternative to periodic clinic visits, wearable devices, and conventional at-home body composition tools, while also maintaining the measurement precision required for made-to-measure apparel applications.

Key takeaway

The June 2025 algorithm update lifted MeThreeSixty’s body fat percentage R² from 0.834 to 0.881, on par with high-cost octapolar bioimpedance devices, while delivering a 40–50% improvement in measurement repeatability across all 241 body measurements, at zero marginal cost per scan. Processing nearly 100,000 scans monthly, Size Stream benefits from a compounding data flywheel where scan volume continuously feeds algorithm improvement, driving better accuracy across a wider range of body types. As GLP-1 medications drive growing demand for nuanced fat versus lean mass tracking, MeThreeSixty’s combination of daily scanning capability and approaching clinical-grade accuracy makes it the most practically accessible tool for the monitoring challenge that matters most right now.

CitationsSteven C. Hauser, Matthew S. Gilmer, David Bruner (2025). Improvements in 3D Body Shape and Measurement Accuracy from Size Stream.
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Paper summary

Topic
Body Composition
Authors
Steven C. Hauser, Matthew S. Gilmer, David Bruner
Published
December 2025
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