Another great day at AWE 2026.

Here’s a look at one of the concepts we’re exploring: combining EMG-based neural input from two Mudra Link bands with open-source computer vision hand tracking.

By synchronizing real-time pressure levels and multi-hand interactions, we’re exploring how neural input and computer vision can help teach machines not only what humans do, but how they do it.

As Physical AI advances, understanding human tasks requires more than observing motion alone. Intent, force, timing, coordination, and other subtle signals often provide important context that is difficult to capture through vision alone. Combining neural input with computer vision offers an opportunity to build richer datasets for understanding human behavior and task execution.

Using Mudra Studio, developers can build similar experiences by combining neural input with their own applications, sensors, AI models, and computer vision pipelines.

💪🏼 Booth #648

🧠 Room 201A (2nd Floor)