Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques

Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques. López-Albán, D., López-Barrera, A., Mayorca-Torres, D., & Peluffo-Ordóñez, D. H. In Florez, H. & Cattaneo, M. F. P., editors, Applied Informatics - Fourth International Conference, ICAI 2021, Buenos Aires, Argentina, October 28-30, 2021, Proceedings, volume 1455, of Communications in Computer and Information Science, pages 55–67, 2021. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/icai2/Lopez-AlbanLMP21,
  author       = {D. L{\'{o}}pez{-}Alb{\'{a}}n and
                  A. L{\'{o}}pez{-}Barrera and
                  Dagoberto Mayorca{-}Torres and
                  Diego Hern{\'{a}}n Peluffo{-}Ord{\'{o}}{\~{n}}ez},
  editor       = {Hector Florez and
                  Mar{\'{\i}}a Florencia Pollo Cattaneo},
  title        = {Sign Language Recognition Using Leap Motion Based on Time-Frequency
                  Characterization and Conventional Machine Learning Techniques},
  booktitle    = {Applied Informatics - Fourth International Conference, {ICAI} 2021,
                  Buenos Aires, Argentina, October 28-30, 2021, Proceedings},
  series       = {Communications in Computer and Information Science},
  volume       = {1455},
  pages        = {55--67},
  publisher    = {Springer},
  year         = {2021},
  url          = {https://doi.org/10.1007/978-3-030-89654-6\_5},
  doi          = {10.1007/978-3-030-89654-6\_5},
  timestamp    = {Sun, 12 Feb 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/icai2/Lopez-AlbanLMP21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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