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

Wearable Devices Ltd. (Nasdaq: WLDS, WLDSW) will present an expanded showcase of neural interface technology at CES 2026 in Las Vegas from January 6 to 9, featuring partnership demonstrations, software platform enhancements, and new research developments. The company will highlight its collaboration with Rokid, showcasing wrist-based neural gesture control for AI and AR glasses through the Mudra Link device. This partnership aligns product readiness, onboarding processes, and joint marketing efforts for a planned consumer rollout in the second quarter of 2026.

Alongside the partnership announcement, Wearable Devices is introducing significant updates to the Mudra Link application that strengthen its position as a unified input layer for smart-glasses ecosystems. The new software features include customized gesture presets and the ability to complete onboarding directly on supported glasses models, eliminating dependence on PCs or mobile devices. These improvements deliver more consistent cross-brand gesture control, a capability growing increasingly important as smart glasses expand across both consumer and enterprise markets.

The company is also showcasing intellectual property advancements at CES through its successful demonstration of pre-commercial EMG-based weight-estimation technology running on Mudra Link. This technology builds on recently granted patents covering neural measurement of weight, torque, and applied force from the wrist. The development strengthens Wearable Devices' neuromuscular computing roadmap and positions the platform for future applications in robotics, healthcare, sports technology, and extended reality environments.

These announcements represent a comprehensive approach to advancing neural interface technology, combining immediate commercial partnerships with platform improvements and long-term research development. The CES 2026 showcase demonstrates how wrist-based neural input technology is evolving from concept to practical implementation, with specific timelines for consumer product availability. The integration of gesture control directly into smart glasses ecosystems addresses usability challenges that have previously limited adoption of neural interface technologies in mainstream applications.

The weight-estimation technology demonstration represents a significant expansion of the platform's capabilities beyond gesture recognition, opening possibilities for more sophisticated human-computer interaction. By measuring physical parameters like weight and force through neural signals, the technology could enable new applications in fields ranging from rehabilitation medicine to industrial robotics. This research advancement complements the commercial progress represented by the Rokid partnership and Mudra Link software updates, creating a multi-faceted technology roadmap that addresses both current market needs and future innovation opportunities.