# KeiFit: a wellness-wearable model

Canonical page: https://keilab.io/hardware/keifit/

hardware · keifit

A wellness-wearable model: a small continuous-time network designed to read motion (IMU), pulse (PPG) and skin (EDA, temperature) signals and recognise activity on the device, trained on public activity datasets.

## What it does

KeiFit's model reads motion, pulse and skin signals and recognises activity with a compact continuous-time network, small enough for an embedded microcontroller. The same continuous-time machinery is used in the KeiT0 prosthetic design.

## Why it matters

A wearable that runs its model locally keeps raw body signals on the device. KeiFit's model is sized for that.

cross-references

- [→ KeiT0 (prosthetic sibling)](https://keilab.io/hardware/keit0/)
- [→ KeiTech hardware tracks](https://keilab.io/hardware/)

Status: In development

Signals: IMU · PPG · EDA · skin temperature

Inference: Small continuous-time network, int8

Sensitivity: concept public · methods NDA

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