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 access to neural gesture control for AR glasses, giving adopters a competitive edge in immersive tech.

The Mudra Link platform updates enable customized gesture presets and on-device onboarding, creating a unified input layer for cross-brand smart glasses through EMG-based technology.

This neural interface technology advances touch-free control, making digital interactions more intuitive and accessible while paving the way for future healthcare and assistive applications.

Wearable Devices demonstrates EMG-based weight estimation at CES 2026, showing how wrist sensors can measure force for potential use in robotics and sports tech.

Found this article helpful?

Share it with your network and spread the knowledge!

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 matters because it represents a significant step toward mainstream adoption of neural interface technology, moving beyond specialized applications into consumer electronics where intuitive, touch-free control could redefine how users interact with augmented reality environments.

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 platform advancement is important because it addresses a critical barrier to widespread adoption: the fragmentation of input methods across different smart-glasses brands. By creating a standardized neural input layer, Wearable Devices could accelerate ecosystem development and make gesture control more accessible across consumer and enterprise markets.

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 research breakthrough has significant implications because it expands the potential applications of neural interface technology beyond simple gesture recognition to include quantitative physical measurements, opening possibilities for medical rehabilitation monitoring, industrial safety systems, and enhanced virtual reality experiences where users can interact with virtual objects that respond to realistic force feedback.

The convergence of these developments at CES 2026 demonstrates how neural interface technology is maturing from experimental prototypes to integrated commercial solutions. The partnership with Rokid provides a clear path to market for consumer AR glasses with neural control, while the platform updates address practical usability challenges that have hindered previous gesture-control systems. Meanwhile, the EMG-based weight-estimation technology represents forward-looking research that could define the next generation of human-computer interaction. Together, these announcements position Wearable Devices at a critical juncture where neural interface technology transitions from niche applications to potentially mainstream adoption, with implications for how we will interact with digital environments across gaming, productivity, healthcare, and industrial applications in the coming years.

blockchain registration record for this content
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.