Wearable Devices white paper flags wrist-worn neural sensing as intent layer for agentic AI, AR, robotics

• Wearable Devices published a white paper framing wrist-worn neural sensing as an “intent layer” to narrow the gap between user intent and AI inference.
• Paper outlines a “Large MUAP Model” that converts wrist nerve and muscle signals into “neural tokens” aimed at reducing per-user setup time.
• Highlights near-term commercial targets such as continuous authentication for identity and payments, alongside training robotic hands using human force and intent signals.
• Positions AR feedback as a real-time channel to tighten human-agent alignment through continuous correction rather than discrete commands.
• Describes two product tiers, Mudra Pro with 3 EMG channels and Mudra Ultimate with 8 EMG channels, to support consumer and enterprise deployments.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Wearable Devices Ltd. published the original content used to generate this news brief via GlobeNewswire (Ref. ID: 202606230845PRIMZONEFULLFEED9751006) on June 23, 2026, and is solely responsible for the information contained therein.