MIT's toolkit lets anyone design their own muscle-sensing wearables

MIT has unveiled a new toolkit that lets users design health-sensing devices that can detect how muscles move. The university's Science and and Artificial Intelligence Laboratory (CSAIL) created the kit using something called "electrical impedance tomography" (EIT), that measures internal conductivity to gauge whether muscles are activated or relaxed. The research could allow for wearables that monitor distracted driving, hand gestures or muscle movements for physical rehabilitation. In a paper, the researchers wrote that EIT sensing usually requires expensive hardware setups and complex algorithms to decipher the data. The advent of 3D printing, inexpensive electronics and open-source EIT image libraries has made it feasible for more users, but designing a wearable setup is still a challenge.