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Touch ID Toolkit

  • Marquardt, N., Kiemer, J., Ledo, D., Boring, S. and Greenberg, S. (2011) - Designing User-, Hand-, and Handpart-Aware Tabletop Interactions with the TOUCHID Toolkit. Research report 2011-1004-16, Department of Computer Science, University of Calgary, Calgary, Alberta, Canada, July.

Abstract

Recent work in multi-touch tabletop interaction introduced many novel techniques that let people manipulate digital content through touch. Yet most only detect touch blobs. This ignores richer interactions that would be possible if we could identify (1) which hand, (2) which part of the hand, (3) which side of the hand, and (4) which person is actually touching the surface. Fiduciary-tagged gloves were previ-ously introduced as a simple but reliable technique for providing this information. The problem is that its low-level programming model hinders the way developers could rapidly explore new kinds of user- and handpart-aware interactions. We contribute the TOUCHID toolkit to solve this problem. It allows rapid prototyping of expressive multi-touch interactions that exploit the aforementioned characteristics of touch input. TOUCHID provides an easy-to-use event-driven API. It also provides higher-level tools that facilitate development: a glove configurator to rapidly associate particular glove parts to handparts; and a posture configurator and gesture configurator for register-ing new hand postures and gestures for the toolkit to recog-nize. We illustrate TOUCHID's expressiveness by showing how we developed a suite of techniques (which we consider a secondary contribution) that exploits knowledge of which handpart is touching the surface.

Paper

Designing User-, Hand-, and Handpart-Aware Tabletop Interactions with the TOUCHID Toolkit.