PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
LADDER, a sketching language for user interface developers
Computers and Graphics
Proceedings of the 15th international conference on Intelligent user interfaces
Protractor: a fast and accurate gesture recognizer
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Touching the void: direct-touch interaction for intangible displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Protractor3D: a closed-form solution to rotation-invariant 3D gestures
Proceedings of the 16th international conference on Intelligent user interfaces
Imaginary interfaces: touchscreen-like interaction without the screen
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Initial approaches for extending sketch recognition to beyond-surface environments
CHI '12 Extended Abstracts on Human Factors in Computing Systems
$N-protractor: a fast and accurate multistroke recognizer
Proceedings of Graphics Interface 2012
ShortStraw: a simple and effective corner finder for polylines
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Imaginary devices: gesture-based interaction mimicking traditional input devices
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
Adapting surface sketch recognition techniques for surfaceless sketches
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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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.