Purdue RVL-SLLL ASL database for automatic recognition of American Sign Language
Aleix M. Martı́nez, Ronnie Β. Wilbur, Robin A. Shay, A.C. Kak · 2003
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 handshapes, 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-the Purdue RVL-SLLL ASL database.