MooCap

Human motion capture

We collect and clean human motion-capture data
for robotics teams.

We are building our own glove-based capture device, and one path from the glove to a stored dataset.

In build. Pre-release.

Where this stands


Stage
In build
The glove, the app, and the data pipeline are being built. Nothing is public yet.
Path
One route
Capture, stream, store, clean. One path from device to dataset, with no side doors.
Evidence
None yet
No logos, quotes, or figures appear here because none may be published.

01

What we do

  • We are building our own glove-based capture device around an ESP32, with inertial and pressure sensors.
  • We are building one path from the glove to stored data: capture, stream, upload, store.
  • We are building toward cleaned datasets with plug-and-play usability as the goal.

02

Who it is for

  • Robotics and AI teams — send us the motion data gap you are trying to fill; we are building cleaned human motion datasets with a plug-and-play goal.
  • Device owners — request access to the app and tell us which glove you have.
  • Employers and their employees — we are building toward measuring motion in physical tasks. No performance scoring or monitoring is offered.

03

How it works

  1. Capture — a glove records hand and arm motion. (In build.)
  2. Stream — the recording moves from the glove to the phone app. (In build.)
  3. Store — sessions are uploaded and stored. (In build.)
  4. Clean — stored capture becomes a dataset. (In build.)

Request access

We are taking access requests while the product is in build.

Tell us which glove you have, and the motion data gap you are trying to fill.