A new study demonstrates that prosthetics for above-knee amputees could become significantly better in the future by decoding leg movements directly from remaining nerves. Using an implant and AI, researchers were able to interpret subtle movements like the intention to wiggle toes. Giacomo Valle, an assistant professor at Chalmers, notes that one of the biggest challenges for amputees is finding a way to control their prosthetics.
While arm and hand prosthetics are often muscle-controlled, leg prosthetics typically lack active user control, which this research aims to change.
one of the biggest challenges for amputees is finding a way to control their prosthetics