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Fourth IEEE International Conference on Multimodal Interfaces (ICMI'02)
Purdue RVL-SLLL ASL Database for Automatic Recognition of American Sign Language
Pittsburgh, Pennsylvania
October 14-October 16
ISBN: 0-7695-1834-6
Aleix M. Martínez, Ohio State University and Purdue University
Ronnie B. Wilbur, Purdue University
Robin Shay, Purdue University
Avi C. Kak, Purdue University
This article reports on an extensive database of American Sign Language (ASL) motions, handshapes, words and sentences. Research on automatic recognition of ASL requires a suitable database for the training and the testing of algorithms. The databases that are currently available do not allow, for algorithmic development that requires a step-by-step approach to ASL recognition -from the recognition of individual hand-shapes, to the recognition of motion primitives, and, finally, to the recognition of full sentences. We have sought to remove these deficiencies in a new database — Purdue RVL-SLLL ASL database.
Index Terms:
American sign language, database, motion, handshape, prosody
Citation:
Aleix M. Martínez, Ronnie B. Wilbur, Robin Shay, Avi C. Kak, "Purdue RVL-SLLL ASL Database for Automatic Recognition of American Sign Language," icmi, pp.167, Fourth IEEE International Conference on Multimodal Interfaces (ICMI'02), 2002
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