• GART: The Gesture and Activity Recognition Toolkit 

      Brashear, Helene; Kim, Jung Soo; Lyons, Kent; Starner, Thad; Westeyn, Tracy (Georgia Institute of Technology, 2007-07)
      The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gesture-based applications. GART provides an abstraction to machine learning algorithms suitable for ...
    • The Gesture Pendant: A Self-illuminating, Wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring 

      Starner, Thad; Auxier, Jake; Ashbrook, Daniel; Gandy, Maribeth (Georgia Institute of Technology, 2000-10)
      In this paper we present a wearable device for control of home automation systems via hand gestures. This solution has many advantages over traditional home automation interfaces in that it can be used by those with ...
    • The Gesture Watch: A Wireless Contact-Free Gesture Based Wrist Interface 

      Kim, Jungsoo; He, Jiasheng; Lyons, Kent; Starner, Thad (Georgia Institute of Technology, 2007-10)
      We introduce the Gesture Watch, a mobile wireless device worn on a user’s wrist that allows hand gesture control of other devices. The Gesture Watch utilizes an array of infrared proximity sensors to sense hand gestures ...
    • Mobile Capture for Wearable Computer Usability Testing 

      Lyons, Kent; Starner, Thad (Georgia Institute of Technology, 2001-10)
      The mobility of wearable computers makes usability testing difficult. In order to fully understand how a user interacts with the wearable, the researcher must examine both the user’s direct interactions with the computer, ...
    • Towards a One-Way American Sign Language Translator 

      Brashear, Helene; Henderson, Valerie; Hernandez-Rebollar, Jose; McGuire, R. Martin; Ross, Danielle S.; Starner, Thad (Georgia Institute of Technology, 2004-05)
      Inspired by the Defense Advanced Research Projects Agency's (DARPA) recent successes in speech recognition, we introduce a new task for sign language recognition research: a mobile one-way American Sign Language ...
    • Using Multiple Sensors for Mobile Sign Language Recognition 

      Brashear, Helene; Starner, Thad; Lukowicz, Paul; Junker, Holger (Georgia Institute of Technology, 2003-10)
      We build upon a constrained, lab-based Sign Language recognition system with the goal of making it a mobile assistive technology. We examine using multiple sensors for disambiguation of noisy data to improve recognition ...