New opening for a PhD position in Non Invasive Adaptive Hand Prosthetics
The state of the art in hand prosthetics, at the time of writing, does not o er more than 2-3 degrees of freedom and a very coarse control of the force, as there is no haptic feedback. Patients interface with the prosthesis via surface electromyography (sEMG), recorded using surface electrodes. Learning how to control the device through many input sEMG channels is a long and difficult process for most patients, that therefore settles for limited and very simplified movements (open/close). The goal of this project is to develop a family of algorithms able to significantly augment the dexterity, and reduce the training time, for sEMG controlled prosthesis. The research will be conducted within the context of a recently funded Swiss project including European partners.
More information about Idiap open position can be found on the page