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We help understand how people naturally move
— in daily life, not in the lab.
Motion capture usually watches people from the outside — cameras on tripods, markers on the skin, a lab around it all. We turned it around: two small cameras on the shoelaces look up at the body, wherever it goes.
A wide-angle camera on each shoe sees the legs, the upper body and the ground ahead — step after step, indoors or out.
A built-in motion sensor (IMU) picks up each foot contact and the rhythm of every stride.
Our models combine both into full-body 3D motion and the path travelled — no cameras in the room, no markers, no calibration. Patented in the EU and US.
Two 35-gram sensors on regular sports shoes. No suit, no markers, no calibration, no expert needed — ready in seconds.
* Default: 30 fps camera and 200 Hz IMU.
From running drills to the walking patterns clinicians care about — every joint and every stride reconstructed in 3D, from the shoes alone.
High-knee running. Centre: the 3D body and each foot contact, rebuilt from the two shoe cameras and motion sensors (right). Top left: a reference video, shown for comparison only — it is not used as input.
A stroke gait pattern: the leg swings out in an arc instead of straight forward.
Where the body goes, and when each foot touches the ground.
Bent-knee walking, often seen in children with cerebral palsy.
Subtle foot contacts that camera-only systems struggle to see.
Today, our sensors bring lab-grade motion capture to wherever people actually move.
Tomorrow, everything they capture teaches AI how humans move — so it can help people recover from injury, train smarter, stay independent as they age, and share the world safely with robots.
