Wearable Devices Expands Neural Interface Technology at CES 2026 with Rokid Partnership and Platform Updates

By Trinzik

TL;DR

Wearable Devices' CES 2026 showcase with Rokid offers early adopters a competitive edge in AR/VR through neural gesture control, with a consumer bundle launching Q2 2026.

The Mudra Link platform update introduces customized gesture presets and on-device onboarding, enabling consistent cross-brand gesture control without requiring PCs or mobile devices.

This neural-interface technology advances human-computer interaction, making digital control more intuitive and accessible, potentially improving daily life through enhanced productivity and immersive experiences.

Wearable Devices demonstrated EMG-based weight estimation from the wrist, expanding neural input into robotics and healthcare with touch-free gesture technology.

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Wearable Devices Expands Neural Interface Technology at CES 2026 with Rokid Partnership and Platform Updates

Wearable Devices Ltd. enters CES 2026 in Las Vegas with a broadened product and technology showcase that spans partnership announcements, platform upgrades and new neural-interface research. The company will demonstrate its collaboration with Rokid, delivering wrist-based neural gesture control for AI and AR glasses through its Mudra Link device, as the partners align product readiness, onboarding and joint marketing for a planned consumer rollout in the second quarter of 2026. This partnership represents a significant step toward making neural gesture control a mainstream input method for augmented reality devices, potentially transforming how users interact with digital overlays in both consumer and professional settings.

In parallel, Wearable Devices is introducing major updates to the Mudra Link application that strengthen its role as a unified input layer for smart-glasses ecosystems. The updates include customized gesture presets and the ability to complete onboarding directly on select supported glasses, eliminating reliance on PCs or mobile devices while delivering more consistent, cross-brand gesture control. This capability is increasingly critical as the smart-glasses category expands across consumer and enterprise markets, addressing fragmentation challenges that have historically limited adoption of standardized input methods. The platform improvements signal a maturation of neural interface technology from experimental prototypes toward practical, user-friendly implementations that can work across multiple hardware ecosystems.

Complementing these commercial and platform advances, the company is also highlighting new intellectual-property progress at CES through its successful demonstration of pre-commercial EMG-based weight-estimation technology running on Mudra Link. Built on recently granted patents covering neural measurement of weight, torque and applied force from the wrist, the technology strengthens Wearable Devices’ neuromuscular computing roadmap and positions the platform for future applications in robotics, healthcare, sports technology and extended reality. This expansion beyond basic gesture recognition into quantitative force measurement represents a significant advancement in neural interface capabilities, potentially enabling entirely new categories of applications where precise physical interaction data is valuable.

The implications of these developments extend beyond immediate product announcements to broader industry trends in human-computer interaction. By demonstrating working technology at CES 2026 and planning a consumer bundle with Rokid for Q2 2026, Wearable Devices is moving neural interfaces from research laboratories toward commercial viability. The company’s progress in creating a unified input layer that works across different smart glasses brands addresses a key barrier to widespread adoption of augmented reality technology. Furthermore, the expansion into EMG-based weight estimation suggests neural interfaces may eventually provide rich, multidimensional data about human movement and exertion, potentially revolutionizing fields from physical therapy to industrial safety monitoring. These advancements collectively point toward a future where subtle wrist movements can control complex digital systems with precision and nuance previously requiring physical controllers or manual input.

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Trinzik

Trinzik

@trinzik

Trinzik AI is an Austin, Texas-based agency dedicated to equipping businesses with the intelligence, infrastructure, and expertise needed for the "AI-First Web." The company offers a suite of services designed to drive revenue and operational efficiency, including private and secure LLM hosting, custom AI model fine-tuning, and bespoke automation workflows that eliminate repetitive tasks. Beyond infrastructure, Trinzik specializes in Generative Engine Optimization (GEO) to ensure brands are discoverable and cited by major AI systems like ChatGPT and Gemini, while also deploying intelligent chatbots to engage customers 24/7.