Research Output

TraceMatch: a computer vision technique for user input by tracing of animated controls

  Recent works have explored the concept of movement correlation interfaces, in which moving objects can be selected by matching the movement of the input device to that of the desired object. Previous techniques relied on a single modality (e.g. gaze or mid-air gestures) and specific hardware to issue commands. TraceMatch is a computer vision technique that enables input by movement correlation while abstracting from any particular input modality. The technique relies only on a conventional webcam to enable users to produce matching gestures with any given body parts, even whilst holding objects. We describe an implementation of the technique for acquisition of orbiting targets, evaluate algorithm performance for different target sizes and frequencies, and demonstrate use of the technique for remote control of graphical as well as physical objects with different body parts.

  • Date:

    12 September 2016

  • Publication Status:

    Published

  • Publisher

    ACM Press

  • DOI:

    10.1145/2971648.2971714

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    Edinburgh Napier Funded

Citation

Esteves>, A., Clarke, C., Bellino, A., Esteves, A., Velloso, E., & Gellersen, H. (2016). TraceMatch: a computer vision technique for user input by tracing of animated controls. In UbiComp '16 Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 298-303. doi:10.1145/2971648.2971714

Authors

Keywords

User input; Input Techniques; Remote control; Motion matching; Path mimicry; Gesture input; Vision-based interfaces; Ubiquitous computing; Computer vision

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    © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing,
    UbiComp '16, 2016, 978-1-4503-4461-6, Heidelberg, Germany,

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