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Automated Technique for Real-Time Production of Lifelike Animations of American Sign Language
Universal Access in the Information Society
  • John McDonald, DePaul University, Chicago
  • Rosalee Wolfe, DePaul University, Chicago
  • Jerry C Schnepp, Bowling Green State University - Main Campus
  • Julie Hochgesang, Gallaudet University, Washington
  • Diana Gorman Jamrozik, Columbia College Chicago
  • Marie Stumbo, DePaul University, Chicago
  • Larwan Berke, Gallaudet University, Washington
  • Melissa Bialek, DePaul University, Chicago
  • Farah Thomas, DePaul University, Chicago
Document Type
Generating sentences from a library of signs implemented through a sparse set of key frames derived from the segmental structure of a phonetic model of ASL has the advantage of flexibility and efficiency, but lacks the lifelike detail of motion capture. These difficulties are compounded when faced with real-time generation and display. This paper describes a technique for automatically adding realism without the expense of manually animating the requisite detail. The new technique layers transparently over and modifies the primary motions dictated by the segmental model, and does so with very little computational cost, enabling real-time production and display. The paper also discusses avatar optimizations that can lower the rendering overhead in real-time displays.
Publisher's Statement
Forthcoming - expected to be published in 2015.
Publication Date
Citation Information
John McDonald, Rosalee Wolfe, Jerry C Schnepp, Julie Hochgesang, et al.. "Automated Technique for Real-Time Production of Lifelike Animations of American Sign Language" Universal Access in the Information Society Vol. 15 Iss. 4 (2015)
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