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Wearable Devices to Showcase Neural Interface Innovations and Smart-Glasses Integration at CES 2026

By FisherVista

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 to Showcase Neural Interface Innovations and Smart-Glasses Integration at CES 2026

Wearable Devices Ltd. (Nasdaq: WLDS, WLDSW) will present expanded neural interface technology and smart-glasses integration at CES 2026 in Las Vegas from January 6-9, highlighting developments that could reshape how users interact with augmented reality and artificial intelligence systems. The company's showcase includes a partnership demonstration with Rokid, platform software updates, and new intellectual property in neuromuscular computing, collectively advancing toward more natural, touch-free digital control.

The collaboration with Rokid represents a significant step toward consumer-ready neural gesture control for AI and AR glasses. At CES 2026, the companies will demonstrate wrist-based neural gesture control through Wearable Devices' Mudra Link device, with both partners aligning product readiness, onboarding processes, and joint marketing efforts for a planned consumer rollout in the second quarter of 2026. This partnership demonstrates how neural interface technology is moving from specialized applications toward mainstream consumer electronics, potentially making gesture-based control of smart glasses as intuitive as natural hand movements.

Simultaneously, 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 becomes increasingly critical as the smart-glasses category expands across both consumer and enterprise markets, where standardized input methods could accelerate adoption and interoperability between different manufacturers' products.

Beyond these commercial and platform advances, the company is highlighting new intellectual-property progress 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 of neural interface capabilities beyond simple gesture recognition suggests broader potential for the technology in fields requiring precise measurement of physical exertion and manipulation.

The developments showcased at CES 2026 matter because they represent concrete progress toward solving one of the fundamental challenges in augmented reality and wearable computing: creating natural, intuitive input methods that don't require handheld controllers or voice commands in public settings. As smart glasses evolve from niche products toward potential mass-market adoption, the user interface becomes a critical barrier or enabler. Neural gesture control from the wrist offers a potentially discreet, always-available input method that could make extended use of AR glasses more practical for everyday tasks.

For the technology industry, Wearable Devices' platform approach to neural input standardization could help address the fragmentation that often slows adoption of new interface paradigms. By creating a cross-brand solution through the Mudra Link application updates, the company is attempting to establish a common foundation that multiple smart-glasses manufacturers could build upon, potentially accelerating ecosystem development. The company's newsroom at https://ibn.fm/WLDS provides additional information about these developments and their implications for the wearable technology market.

The weight-estimation technology demonstration represents another important direction for neural interfaces, showing how electromyography (EMG) signals from the wrist can capture not just discrete gestures but continuous physical parameters. This could enable new applications in physical therapy, where monitoring rehabilitation exercises could become more objective; in industrial settings, where tracking manual handling could improve safety; and in sports training, where quantifying exertion could enhance performance analysis. The expansion of neural interface capabilities into these measurement domains suggests the technology may have broader applications than initially anticipated in consumer electronics alone.

As CES 2026 approaches, Wearable Devices' announcements highlight how neural interface technology is maturing from research concepts toward integrated solutions with clear commercialization pathways. The partnership with Rokid and the planned Q2 2026 consumer bundle indicate that neural gesture control for smart glasses is approaching market readiness, while the software platform updates address practical deployment challenges that often hinder new interface technologies. Together, these developments suggest that 2026 could be a pivotal year for neural interfaces moving from demonstration stages toward integrated consumer products that genuinely enhance how people interact with digital information in their physical environment.

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FisherVista

FisherVista

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