‍The first product we’re developing is the S1 – a chip that can be used to detect muscle activity by reading the magnetic fields generated by muscle movement. We’re starting with muscle sensing because it’s a simpler, stronger set of signals to detect than that of brain activity, serving as an ideal stepping stone for building a brain sensor. Our goal with the S1 is to solve the limitations of a technique called surface electromyography, which is used for numerous muscle sensing applications despite suffering from the typical signal quality and usability challenges of electrical sensing techniques. The first application we’re focusing on is gesture control to unlock new forms of human-computer interaction for personal computing, augmented realities and gaming. The chip-scale form factor of the S1 means easy integration into wrist-wearables, smartwatches and rings for these applications. And the information advantage of this novel dataset could also lead to more advanced capabilities only possible with higher fidelity signals, additional degrees of freedom, ability to detect intention to move, and more.
$11M