13 sensors to capture CrossFit movement

A network of 13 synchronized inertial sensors, worn across the body, that captures every movement of a CrossFit workout and syncs it in real time with a mobile app.

CrossFit Wearable IoT Prototype
How it works What we built
13 sensors a synchronized inertial network across the whole body
Real time no perceptible delay between the movement and the data
Low latency wireless communication optimized for 13 nodes at once

The problem: one point isn’t enough

To understand an explosive, full-body movement like those in CrossFit, measuring a single point falls short — and the environment doesn’t forgive mistakes.

Movement doesn’t fit in one sensor

A wristband or a single measuring point can’t capture the full kinetic chain of a squat, a jump or a row.

The environment is demanding

Impacts, sweat and explosive movements put any wearable electronics built for high-intensity training to the test.

Without sync, there’s no analysis

Comparing technique requires all 13 points on the body to measure at exactly the same instant — a millisecond offset invalidates the data.

How it works

A network of sensors across the body, a device that aggregates them, and an app that shows it all instantly.

A network of 13 inertial sensors

Worn across the body, each sensor measures its own segment and transmits its data in parallel, without getting in the way of the movement.

A master device aggregates the data

Receives all 13 data streams, synchronizes them and prepares them to be sent to the app.

Real-time mobile app

The movement is visualized in the app instantly, with no perceptible delay between the motion and the data.

Built for training

3D-printed enclosure with a body mount, designed to move with the athlete without getting in the way during exercise.

Motion-capture illustration with sensor points spread across an athlete's body while running
The 13 sensor points are spread across the body to capture the athlete's full movement during exercise.

What we built

From a single sensor to a full architecture of 13 synchronized devices, end to end.

Custom hardware

Own PCB with integrated battery management, replicated across each of the 13 sensor nodes.

Low-latency wireless communication

Architecture evaluated and optimized to synchronize 13 devices at once without losing data or introducing delay.

Master device and firmware

Aggregation firmware that consolidates all 13 data streams and delivers them to the app in real time.

Designed for production

Architecture evaluated with the jump from prototype to series production in mind, including the power consumption of all 13 nodes.

Technology

The whole stack, from a single sensor to the synchronized network.

  • Network of 13 inertial sensors (IMU)
  • Master data-aggregation device
  • Low-latency wireless communication
  • Real-time synchronization
  • iOS / Android app
  • Custom PCB
  • Integrated battery management
  • 3D-printed enclosure
  • Body mount
  • Low-power architecture
  • Production scale-up roadmap

Wearable electronics by RobotUNO

From a single sensor to a fully synchronized network: hardware, firmware and app, end to end. Have a similar project?

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