Technology
THE SCIENCE BEHIND THE MEASUREMENT.
We are exploring a range of technologies that together could make personal body composition measurement more accurate, more accessible, and more meaningful.
01
BODY COMPOSITION ANALYSIS
Beyond the number on the scale.
Weight alone tells an incomplete story. Body composition — the ratio of fat mass to lean mass, muscle, bone, and water — provides a far richer picture of a person's physical health and how it changes over time.
We are exploring bioelectrical impedance analysis (BIA) as a core measurement technology. BIA works by passing a small, safe electrical current through the body and measuring the resistance encountered. Because fat, muscle, and water conduct electricity differently, the resulting data can be used to estimate body composition with meaningful accuracy.
Multi-frequency BIA — using multiple electrical frequencies simultaneously — is an area of particular interest, as it may enable more granular estimates across different tissue types compared to single-frequency approaches.
Bioelectrical impedance analysis is an established measurement technique used in research and clinical settings. Our exploration focuses on how to bring its capabilities to consumer and professional hardware in a practical, everyday form.
02
SMART HARDWARE DESIGN
Precision in everyday form.
The hardware that delivers a measurement is as important as the measurement itself. We are exploring how to design connected devices that are precise, durable, and genuinely pleasant to use — devices that fit naturally into daily routines rather than demanding attention.
Key areas of hardware exploration include load cell sensor arrays for high-accuracy weight measurement, electrode configurations for BIA signal delivery and capture, low-power wireless communication modules, and rechargeable power systems designed for long intervals between charges.
We are also exploring industrial design principles that prioritise minimal footprint, material quality, and long-term reliability — hardware that earns a permanent place in a home or professional environment.
Hardware concepts are in early-stage exploration. No final specifications, materials, or manufacturing partners have been confirmed.
03
SENSOR ARRAYS & SIGNAL PROCESSING
More data points, better estimates.
The accuracy of a body composition estimate depends heavily on the quality and configuration of the sensors collecting the raw signal. We are investigating multi-electrode sensor array configurations that could improve the spatial resolution of BIA measurements — capturing data from more body segments and reducing the influence of positional variation.
Signal processing is equally important. Raw impedance data must be filtered, corrected for temperature and environmental factors, and processed through validated estimation algorithms before it becomes a meaningful body composition figure. We are exploring both established algorithms and potential areas for improvement.
Calibration methodology — ensuring consistent, repeatable results across different users, body types, and measurement conditions — is a central challenge we are actively thinking through.
Sensor and signal processing approaches are under active research. Accuracy claims will only be made once validated through rigorous testing.
04
DATA VISUALIZATION
Making data human.
Raw measurement data has limited value without clear, intuitive presentation. We are exploring how to translate body composition metrics into visualizations that are immediately understandable — communicating trends, progress, and context without requiring users to interpret numbers in isolation.
Key visualization challenges include representing change over time in a way that is motivating rather than anxiety-inducing, surfacing meaningful patterns without overwhelming users with data, and adapting the level of detail to different user contexts — a casual consumer versus a fitness professional have very different information needs.
We are also exploring how data visualization can support goal-setting and progress tracking in ways that feel personal and relevant, rather than generic.
The FAT Connect platform concept is our proposed vehicle for delivering data visualization to end users. It remains in early conceptual development.
05
USER-CENTRED DESIGN
Technology that respects the person using it.
Every technology decision we make is filtered through a user-centred lens. Body composition measurement is an inherently personal domain — one that intersects with body image, health anxiety, and deeply individual wellness goals. We take that responsibility seriously.
Our design exploration prioritises measurement interactions that are frictionless and non-intrusive, data presentations that are informative without being prescriptive, privacy models that keep personal health data firmly under user control, and accessibility considerations that ensure our products are usable by a wide range of people.
We believe the best health technology is technology that people actually use — consistently, comfortably, and on their own terms.
User research and usability testing will be integral to our development process. We are not yet at the stage of formal user studies.
BUILT ON RIGOUR. DESIGNED FOR PEOPLE.
We are at an early stage of exploration. Our commitment is to develop technology that is scientifically grounded, honestly communicated, and genuinely useful — and to be transparent about where we are in that journey.
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