Developing sketch recognition and interaction techniques for intelligent surfaceless sketching user interfaces

Abstract

As commercial motion-tracking sensors achieve greater reliability and ubiquity, intelligent sketching user interfaces can expand beyond traditional surface environments for richer surfaceless sketching interactions. However, relevant techniques for automatically recognizing sketches in surfaceless interaction spaces are either largely constrained, due to limited gesture input vocabularies from existing gesture recognition techniques; or unexplored, due to being adapted specifically for surface environments by existing sketch recognition techniques. This dissertation research therefore proposes to investigate techniques for developing intelligent surfaceless sketching user interfaces. The core research work will focus on investigating automated recognition techniques for better understanding the content of surfaceless sketches, and determining optimal interaction techniques for improving related intuitive sketching cues in those surfaceless interaction spaces.