Prosthesis Control

Lead Investigator: Kia Nazarpour

Project Team: Matthew Dyson, Emma Brunton, Hannah Jones, Agamemnon Krasoulis, Sigrid Dupan, Ghazal Ghazaei, Carolina Silveira

Funding: Engineering and Physical Sciences Research Council (EPSRC), EP/M025594/1, EP/M025977/1, EP/N023080/1 and EP/R004242/1

Project Synopsis

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:

  • the decoding of motor intentions via intelligent analysis of muscle and other signals, e.g. inertia and artificial vision
  • the generation and delivery of naturalistic sensory feedback signals to the peripheral nervous system
  • the validation of this framework with able-bodied subjects and upper-limb prosthesis users.