Wearable Devices demonstrates neural sensing layer for humanoid training data
Wearable Devices introduced a Physical-AI data-capture layer that combines sEMG, IMU and PPG signals to augment vision data with human movement and intent information.

Evidence notes
- The stack translates synchronized signals into hand-pose tracking, applied force, touch timing and intent labels.
- The company positions the layer for dexterous-humanoid training and other robotic or autonomous systems.
- The capability was showcased at Physical AI 2026 in Tel Aviv; no standalone product launch or customer deployment was disclosed.
Company overview
Wearable Devices develops neural-input wearables and software. Its robotics-facing sensing layer combines sEMG, IMU and PPG signals to add hand pose, force, touch timing and human-intent labels to Physical-AI training data.