Today’s muscular sensor market is split into two extremes. And both sides have serious drawbacks.
On one end, there’s commercial-grade sparse electromyography or SEMG—the kind of sensors used in fitness trackers, rehab tools, and low-cost prosthetics.
These sensors are inexpensive, wearable, and run in real time. But they’re crude.
Think of them like motion alarms: they can tell you if a muscle is active. Not how intensely. Not which one precisely. And definitely not what motion the correlating musculature is conducting.
On the other end of this market extreme is high-density electromyography or HD-EMG, the clinical gold standard.
Excellent spatial resolution. Incredible signal clarity.
But they’re bulky, expensive, and built for diagnostic use in highly-controlled environments like hospitals and laboratories.
These systems aren’t wearable. They aren’t real-time. And they definitely don’t scale.
The choice in sensor technology is binary:
What if amputees could control their prosthetics the same way they would've controlled their native limb?
Yes—brands like Meta and Mudra have dipped their toes in the electromyographic wearable market.
But discrete and predetermined gesture recognition with closed compatibility isn't exactly what we're going for here at Hemlock.
Meet the MEMG Band — a direct interface between human intent and machine action.
MEMG (short for Medium Electromyography) bridges the gap in the existing sensor market by uniting the affordable and wearable SEMG hardware with the signal fidelity and clinical precision of HD-EMG systems.
The MEMG Band comfortably sits on a user's wrist and decodes neuromuscular intent by analyzing their body's bio-electricity to interpret the fine-motor motion of their hand—without ever requiring any data input from the hand itself.
This sleek wristband continuously analyzes a user’s musculature, creating a real-time digital twin of their hand—perfectly emulating their movement in the digital world and offering plug-and-play functionality for any downstream system, ranging from robotic control to digital interfacing and everything in between.
Developers can apply the continuously-updated kinematic hand profile to any output system with ease.
Real-time motion quantification. Compatible with any system on Earth.
Affordable, non-occlusive, clinical-grade state estimation.
Intent is the interface. The MEMG Band.