Meta has released a study in the journal Nature detailing the latest version of its sEMG-RD bracelet. This innovative device captures electrical signals from muscles and translates them into digital commands—enabling functionalities like navigating a computer desktop or launching applications, as reported by Gizmodo.
The newest prototype can now automatically adjust to a new user without requiring extensive training, a limitation of earlier models. This advancement is made possible through new neural network algorithms that rapidly analyze signals and create a personalized control model.
Developers have also showcased the ability to recognize the intensity of gestures, such as how firmly an object is virtually squeezed. This opens up potential for more complex interactions in VR and AR environments. Additionally, the device can now read handwritten text at a rate of 20.9 words per minute.
Meta has been working on similar interfaces since 2021. The current version of the bracelet is one of the most promising developments in alternative control methods that do not rely on cameras or physical controllers. This solution could also prove beneficial for users with disabilities.
