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|Title:||Classification of gesture with layered meanings||Authors:||Ong, S.C.W.
|Issue Date:||2004||Citation:||Ong, S.C.W.,Ranganath, S. (2004). Classification of gesture with layered meanings. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2915 : 239-246. ScholarBank@NUS Repository.||Abstract:||Automatic sign language recognition research has largely not addressed an integral aspect of sign language communication - grammatical inflections which are conveyed through systematic temporal and spatial movement modifications. We propose to use low-level static and dynamic classifiers, together with Bayesian Networks, to classify gestures that include these inflections layered on top of the basic meaning. With a simulated vocabulary of 6 basic signs and 4 different layered meanings, test data for four test subjects was classified with 84.6% accuracy.||Source Title:||Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)||URI:||http://scholarbank.nus.edu.sg/handle/10635/69606||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
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