Finger-Trace Generator for SWYPE Touch Screen Testing Applications

Abstract

With the introduction of touch-screens for an increasing number of applications such as smart phones, vending machines and automotive displays, the need for testing input possibilities for such displays arose. For many different test scenarios not only synthetic, but also human-like inputs are desired. This paper describes an approach capable of creating human-like finger-traces for the input method including, but not limited to swyping. In the process, the algorithm will calculate splines that imitate human finger-traces and run through specified control points. These control points are lying on a given keyboard layout and are analyzed by image processing algorithms. Providing different user profiles for varying input styles-such as precise and sloppy, slow and fast-automated test runs on the robustness and accuracy of applications can be realized, considering the finger-trace that was utilized.