  The control of multi-fingered dexterous prosthetics hand remains challenging
due 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 of
eye-tracking and augmentced reality technologies to solve this problem. It runs
entirely in a HoloLens2 helmet, where users can glance at icons on the
holographic interface to switch between six daily grasp types quickly. Compared
to traditional GSIs (FSM-based, PR-based, and mobile APP-based), i-GSI achieved
the best results in the experiment with eight healthy subjects, achieving a
switching time of 0.84 s, a switching success rate of 99.0%, and learning
efficiency of 93.50%. By verifying on one patient with a congenital upper limb
deficiency, 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 new
i-GSI, as a standalone module, can be combined with traditional proportional
myoelectric control to form a hybrid-controlled prosthetic system that can help
patients accomplish dexterous operations in various daily-life activities.
