#3797. Improving realism in automated fingerspelling of American sign language

October 2026publication date
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Journal’s subject area:
Language and Linguistics;
Linguistics and Language;
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Abstract:
Fingerspelling is a process of communicating letters of a spoken language alphabet using a person’s hand or hands. Portraying animations of fingerspelling has proved surprisingly resistant to automation because of the collisions that arise from conventional interpolation of keyframes of individual manual letters. This paper reports on the development and evaluation of a new collision avoidance algorithm that aids fingerspelling. The new strategy is efficient enough to support real-time fingerspelling while still maintaining a high level of predictive accuracy. Future work will include testing the strategy’s generality when applying it to other one-handed manual alphabets.
Keywords:
American sign language; Collision avoidance; Fingerspelling; Sign language; Sign language synthesis

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