ArSL21L: Arabic Sign Language Letter Dataset Benchmarking and an Educational Avatar for Metaverse Applications

Ganzorig Batnasan, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Timothy K. Shih. ArSL21L: Arabic Sign Language Letter Dataset Benchmarking and an Educational Avatar for Metaverse Applications. In Ilhem Kallel, Habib M. Kammoun, Lobna Hsairi, editors, IEEE Global Engineering Education Conference, EDUCON 2022, Tunis, Tunisia, March 28-31, 2022. pages 1814-1821, IEEE, 2022. [doi]

@inproceedings{BatnasanGOAS22,
  title = {ArSL21L: Arabic Sign Language Letter Dataset Benchmarking and an Educational Avatar for Metaverse Applications},
  author = {Ganzorig Batnasan and Munkhjargal Gochoo and Munkh-Erdene Otgonbold and Fady Alnajjar and Timothy K. Shih},
  year = {2022},
  doi = {10.1109/EDUCON52537.2022.9766497},
  url = {https://doi.org/10.1109/EDUCON52537.2022.9766497},
  researchr = {https://researchr.org/publication/BatnasanGOAS22},
  cites = {0},
  citedby = {0},
  pages = {1814-1821},
  booktitle = {IEEE Global Engineering Education Conference, EDUCON 2022, Tunis, Tunisia, March 28-31, 2022},
  editor = {Ilhem Kallel and Habib M. Kammoun and Lobna Hsairi},
  publisher = {IEEE},
  isbn = {978-1-6654-4434-7},
}