Meta unveils wristband prototype that controls computer systems with hand gestures

The workforce have additionally printed a paper within the journal Nature detailing their work into what they name the sEMG-RD (analysis system). 

According to the researchers, the expertise is so efficient that the system may even recognise the consumer’s intention to carry out a gesture. This means you can management a tool just by considering. 

As the paper states, “sEMG recognises your intent to perform a variety of gestures, like tapping, swiping, and pinching – all with your hand resting comfortably at your side”.

As Thomas Reardon, one of many authors of the Meta analysis paper, instructed the New York Times, “You don’t have to actually move…You just have to intend the move.”

The paper supplies a “blueprint to create neuromotor interfaces” by publicly releasing a dataset containing over “100 hours of sEMG recordings from over 300 research participants across three distinct tasks”. 

The authors hope is that it will assist speed up future work by teachers and researchers within the discipline.

For instance, it might make computer systems extra accessible for individuals with mobility challenges. As the blogpost states, “Over time, sEMG could revolutionise how we interact with our devices, help people with motor disabilities gain new levels of independence while improving their quality of life, and unlock new possibilities for HCI that we haven’t even dreamt of yet.”