Lead Investigator: Kia Nazarpour
Our research is motivated by the potential of prosthetics to restore function to individuals with sensorimotor deficit, by transforming thought into action and sensation into perception. Our vision is that the next generation of prosthetic hands will feature an efficient user-in-loop control mechanism by incorporating sensory feedback. Such an approach will empower users to achieve tasks that are currently impossible for them, for example, playing a piano sonata or tying a shoe-lace without needing to continually look.
We aim to deliver key algorithms and technologies that will enable significant advances towards this vision. Specifically, our aims are:
1. the decoding of motor intentions via intelligent analysis of muscle and other signals, e.g. inertia and artificial vision;
2. the generation and delivery of naturalistic sensory feedback signals to the peripheral nervous system;
3. the validation of this framework with able-bodied subjects and upper-limb prosthesis users.