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Biopotentials reveal what cameras cannot.

THE HUMAN LAYER OF PHYSICAL AI

Kavana uses Mudra neuromuscular wristbands to capture hand pose, force and intent as human-layer data for physical-AI training.

Where human dexterity becomes data.

The Kavana lab is where we capture how skilled hands really work: every joint angle, every contact, every Newton of force, together with the neuromuscular signals that drive them.

with the combination of sensors each task calls for: motion capture, Mudra™ EMG, egocentric video, force sensing, tactile gloves and additional sensors.

EMG sensing beyond vision.

Kavana fuses its EMG wristband with any egocentric camera array. No gloves, no line-of-sight, no extra rigs.

Pose estimation

Fusing the wristband with egocentric cameras cuts hand-pose error about 2x, from 9.0° to 4.2° MAE.

Through occlusion

EMG and IMU keep tracking the hand when tools, objects or the frame edge block the camera.

Grip force

Surface EMG tracks muscle effort, so trained models estimate grip force in Newtons, straight from the wrist.

Researcher wearing a Mudra wristband with hand markers during a Kavana data capture

WHO WE ARE

Built on 12+ years of EMG R&D.

Kavana is a unit of Wearable Devices Ltd. (Nasdaq: WLDS), the team behind the Mudra neural-interface wristband.

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13 patents and four generations of consumer-proven hardware, now applied to physical-AI data collection and model training.

Contact Form

Start a data program.

Scope the task, run a bounded pilot synced to your streams, and scale once it moves your metric. Tell us what you're training.

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ABOUT US

Wearable Devices Ltd. develops a non-invasive Neural input interface for controlling digital devices using subtle finger movements.

 

We believe that neural-based interfaces will become as ubiquitous as wearable computing and digital devices in general, just as the touchscreen became the universal input method for smartphones.

TALK TO US

Wearable Devices Ltd - HQ
Hatnufa 5 street,
Yokneam Illit 2066736,

Israel.

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