Linguistic properties based on American Sign Language isolated word recognition with artificial neural networks using a sensory glove and motion tracker

@article{Oz2007LinguisticPB,
  title={Linguistic properties based on American Sign Language isolated word recognition with artificial neural networks using a sensory glove and motion tracker},
  author={Cemil Oz and Ming C. Leu},
  journal={Neurocomputing},
  year={2007},
  volume={70},
  pages={2891-2901}
}
Sign language (SL), which is a highly visual–spatial, linguistically complete, and natural language, is the main mode of communication among deaf people. Described in this paper are two different American Sign Language (ASL) word recognition systems developed using artificial neural networks (ANN) to translate the ASL words into English. Feature vectors of signing words taken at five time instants were used in the first system, while histograms of feature vectors of signing words were used in… CONTINUE READING
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