3D gesture segmentation for word-level Arabic sign language using large-scale RGB video sequences and autoencoder convolutional networks

Author:

Boukdir AbdelbassetORCID,Benaddy Mohamed,Ellahyani Ayoub,Meslouhi Othmane El,Kardouchi Mustapha

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference23 articles.

1. Abdel-Fattah, M.A.: Arabic sign language: a perspective. J. Deaf Stud. Deaf Educ. 10(2), 212–221 (2005)

2. Al-Fityani, K., Padden, C.: Sign language geography in the arab world. Sign languages: A Cambridge survey 20 (2010)

3. Aly, S., Aly, W.: Deeparslr: A novel signer-independent deep learning framework for isolated arabic sign language gestures recognition. IEEE Access 8, 83199–83212 (2020)

4. El Meslouhi, O., Elgarrai, Z., Kardouchi, M., Allali, H.: Unimodal multi-feature fusion and one-dimensional hidden markov models for low-resolution face recognition. Int. J. Electr. Computer Eng. 7(4), 1915 (2017)

5. Elatawy, S.M., Hawa, D.M., Ewees, A.A., Saad, A.M.: Recognition system for alphabet arabic sign language using neutrosophic and fuzzy c-means. Educ. Inf. Technol. 25, 5601–5616 (2020)

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