MOTION ANALYZED

No markers. No constraints. On your mobile

Our state of the art AI captures and analyses your motion in realtime

 

POSE CAMERA

Fully mobile based motion capture

FREELY MOVE IN THE ROOM

Place your phone beneath your TV and interact unconstrained by controllers.  Room Mode captures standing motions from a few meters away.

 

Clip includes live phone camera setup and using an iPhone to capture motion on various clips.

SEATED AT DESKTOP

Place your phone by your monitor and interact.  Desktop mode is great for capturing hand gestures and upper body motion up close.

Our software runs fully on the phone while streaming motion capture data live to the demo game running on the desktop.

INTEGRATE WITH GAME ENGINES

Connect our AI with the Unreal Engine or Unity 3D to enable innovative game play and interactive experiences

Use live motion capture or recognize player actions as discrete events for streamlined character control logic

Now with improved AI!

We recently released our second generation AI model in Room mode with improved body tracking in AI mode, as well as various other improvements to our framework

 

We will extend our AI for desktop mode soon as well as introduce other improvements.  Stay tuned!

Stream to the Unreal Engine via LiveLink, into Unity with our free scripts or use our simple API to integrate into your application.  Try our iOS app, visit us on the Unreal Marketplace or check out our API examples directly on Github

OUR TECHNOLOGY

Orientation keypoints are an elegant solution to human pose estimation in 6D

It's realistic.  Our AI captures motion completely, body and hands, using only a single camera.

It's fast.  Our lightweight software runs in realtime on a smartphone. 
- iPhone 12 @ 60+ fps
- iPhone  8 or X  @ 50+ fps

 
It's proprietary.  We use in-house neural network research backed by patented innovations.  Read our recent peer-reviewed research and Enquire to learn more.

 

CONTACT US

Pose AI Ltd is a company registered in England and Wales
(Company No. 12387473).

27 Old Gloucester Street, London, WC1N 3AX United Kingdom