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The control of multi-fingered dexterous prosthetics hand remains challengingdue to the lack of an intuitive and efficient Grasp-type Switching Interface(GSI). We propose a new GSI (i-GSI) t hat integrates the manifold power ofeye-tracking and augmentced reality technologies to solve this problem. It runsentirely in a HoloLens2 helmet, where users can glance at icons on theholographic interface to switch between six daily grasp types quickly. Comparedto traditional GSIs (FSM-based, PR-based, and mobile APP-based), i-GSI achievedthe best results in the experiment with eight healthy subjects, achieving aswitching time of 0.84 s, a switching success rate of 99.0%, and learningefficiency of 93.50%. By verifying on one patient with a congenital upper limbdeficiency, i-GSI achieved an equivalent great outcome as on healthy people,with a switching time of 0.78 s and switching success rate of 100%. The newi-GSI, as a standalone module, can be combined with traditional proportionalmyoelectric control to form a hybrid-controlled prosthetic system that can helppatients accomplish dexterous operations in various daily-life activities.

i-GSI: A Fast and Reliable Grasp-type Switching Interface based on Augmented Reality and Eye-tracking