Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors

@article{Almeida2014FeatureEI,
  title={Feature extraction in Brazilian Sign Language Recognition based on phonological structure and using RGB-D sensors},
  author={S{\'i}lvia Grasiella Moreira Almeida and Frederico G. Guimar{\~a}es and Jaime A. Ram{\'i}rez},
  journal={Expert Syst. Appl.},
  year={2014},
  volume={41},
  pages={7259-7271}
}
In contrast to speech recognition, whose speech features have been extensively explored in the research literature, feature extraction in Sign Language Recognition (SLR) is still a very challenging problem. In this paper we present a methodology for feature extraction in Brazilian Sign Language (BSL, or LIBRAS in Portuguese) that explores the phonological structure of the language and relies on RGB-D sensor for obtaining intensity, position and depth data. From the RGB-D images we obtain seven… CONTINUE READING
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