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SIGITE/RIIT 2012 » ACM Conference on IT Education/Research » Improving Accuracy in Face Tracking User Interfaces using Consumer Devices

Improving Accuracy in Face Tracking User Interfaces using Consumer Devices

  • One form of natural user interaction with a personal computer is based on face pose and location. This is especially helpful for users cannot effectively use common input devices with their hands. A characteristic problem of such an interface, among others, is that face movement is expected to be small and limited relative to a significantly larger control area (e.g. a full resolution monitor). In addition, vision-based algorithms and technologies that enable such interfaces introduce noise that adversely affects usability. This paper describes some of these problems in detail and presents potential solutions. Some basic face tracking user interfaces with different configurations were implemented and statistically evaluated to support the analysis. The different configurations include the use of 2D and depth images (from consumer depth sensors), different input styles, and the use of the Kalman filter.

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    SIGITE/RIIT 2012

    Canada , Calgary, AlbertaยทOctober 10 - 13, 2012

    Registration Details
    $310 ACM Members Early (Ends Aug 31)
    $320 Non-Members Early (Ends Aug 31)
    $340 ACM Members (After Aug 31)
    $370 Non-Members (After Aug 31)
    $50 Student

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    The SIGITE 2012 conference itself be held in the Hotel Arts, which is a 175-room, full-service boutique hotel in the exciting heart of Calgary.

    Hotel Arts
    119 - 12th Avenue SW
    Calgary, AB T2R 0G8
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