Embodied data collection
For robotics and foundation-model teams: turn daily human motion into the missing ImageNet-scale embodied dataset.
A wrist for the AGI age.
Sub-20 ms neural decoding delivers intention-level 3D input for embodied AI, XR and beyond.
20 ms neural decoding of 20 joint angles — palm to fingertips, grip to release.
Type in air without a surface, without cameras, without latency tax.
Pitch, yaw, roll, depth — rotate, push, pull — six-axis input from the wrist.
Muscle-level force intent recorded alongside position — the missing dimension in embodied-AI datasets.
For robotics and foundation-model teams: turn daily human motion into the missing ImageNet-scale embodied dataset.
Glances replace clicks. Fingertip text replaces virtual keyboards. Privacy at public-space scale.
Rehabilitation feedback, gesture-based sign language translation, prosthetic intent decoding.
Detailed specs arrive with omniband.ai (coming soon) →
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