Touch+Finger: Extending Touch-based User Interface Capabilities with "Idle" Finger Gestures in ...
summary
A prototype uses ring-like IMU sensors plus a tablet and PC to track the motion of “idle” fingers and augments primary touch with 20 defined in-air and pre-touch poses, producing a classifier that achieves over 99% recognition accuracy across 2,080 samples from 8 participants. Users find many gestures awkward during dynamic touches but usable for static taps; the authors demonstrate 8 interaction techniques (drawing mode switching, context menus, brush sides) and discuss miniaturization and sensor alternatives.
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