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Although many augmented tabletop systems have shown the potential and usability of finger-based interactions and paper-based interfaces, they have mainly dealt with each of them separately. In this paper, we introduce a novel method aimed to improve human natural interactions on augmented tabletop systems, which enables multiple users to use both fingertips and physical papers as mediums for interaction. This method uses computer vision techniques to detect multi-fingertips both over and touching the surface in real-time regardless of their orientations. Fingertip and touch positions would then be used in combination with paper tracking to provide a richer set of interaction gestures that the users can perform in collaborative scenarios.
Ayana Mizutani, Herbert Shea, Amir Firouzeh