Body Sensor Networks

Body sensor networks are moving from “a wearable” to “a surface”.

This Nature Electronics work is a strong signal: topology-based body sensor networks - where sensors are distributed across clothing (or the body) and the shape/topology of that network helps coordinate sensing and data flow.

In plain terms: you’re no longer measuring a couple of points (wrist, chest, ring). You’re turning large areas of your body into an instrumented interface.

That’s upward pressure on the Reality dial. Because as the sensing footprint expands, the AI layer gets more continuous, more intimate, and more “default”:

- More of you becomes measurable (movement, posture, physiology, environment contact).
- More of your day becomes legible (not just workouts or sleep - everything in between).
- More decisions get nudged by models that sit between your lived experience and what the data implies.

And topology matters because it’s a step toward wearable sensing that can scale beyond rigid, fixed placements - sensors embedded into fabric, arranged dynamically, and still meaningfully interpreted.

“Body sensor networks wirelessly interconnect multiple on-body sensors using metamaterials that are capable of supporting microwave near-field or surface-wave propagations. However, the design of such networks is typically restricted to one-dimensional unit-cell structures.” - Nature

This is what “AI-mediated” looks like when it’s not just on screens: it’s stitched into the layer you live inside.

> The interface layer is thickening. If you disagree with my interpretation, or you’ve spotted a better signal then reply and tell me.