A Word-Based Moroccan Sign Language Dataset for Emergency Situations: Use Case COVID-19
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35248-5_40
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2. Al-Qurishi, M., Khalid, T., Souissi, R.: Deep learning for sign language recognition: Current techniques, benchmarks, and open issues. IEEE Access 9, 126917–126951 (2021)
3. Duarte, A., et al.: How2sign: a large-scale multimodal dataset for continuous American sign language. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 2735–2744 (2021)
4. El Ouariachi, I., Benouini, R., Zenkouar, K., Zarghili, A., El Fadili, H.: RGB-D feature extraction method for hand gesture recognition based on a new fast and accurate multi-channel cartesian Jacobi moment invariants. Multimedia Tools Appl. 81(9), 12725–12757 (2022). https://doi.org/10.1007/s11042-022-12161-2
5. Smart Innovation, Systems and Technologies;I El Ouariachi,2022
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