The Missing Interface: Micro-gestures on Augmented Objectsprint
There is a missing interface when we augment physical objects with digital content, since those objects were never designed for such augmentation. A review of related work in this regard reveals that current interaction approaches have limited detection fidelity and spatial resolution, and do not provide inconspicuous, precise, and flexible object-oriented interactivity. Our proposal, based on Google Soli’s radar sensing technology, is designed to detect micro-gestures on objects with sub-millimeter precision. Our preliminary results show that Soli’s core features and traditional machine learning methods (Random Forest and Support Vector Machine) do not lead to robust recognition, and so more advanced methods incorporating additional sensor features should be used instead.