Analysis and Evaluation of Sketch Recognizers in the Creation of Physics Simulations

Abstract

Sketch-based interfaces can provide a natural way for users to interact with applications. Since the core of a sketch-based interface is the gesture recognizer, there is a need to correctly evaluate various recognizers before choosing one. In this paper the authors present an evaluation of three gesture recognizers: Rubine's recognizer, CALI and the $1 Recognizer. The evaluation relied on a set of real gesture samples drawn by 32 subjects, with a gesture repertoire arranged for use in SketchyDynamics, a programming library that intends to facilitate the creation of applications by rapidly providing them with a sketch-based interface and physics simulation capabilities. The authors also discuss some improvements to the recognizers' implementation that helped achieving higher recognition rates. In the end, CALI had the best recognition rate with 94% accuracy, followed by $1 Recognizer with 87% and finally by Rubine's recognizer with 79%.