Double-handed dynamic gesture recognition using contour-based hand tracking and maximum mean probability ensembling (MMPE) for Indian Sign Language
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-022-02720-x.pdf
Reference53 articles.
1. Abdelnasser, H., Youssef, M., Harras, K.A.: Wigest: A ubiquitous wifi-based gesture recognition system. In: 2015 IEEE Conference on Computer Communications (INFOCOM), pp. 1472–1480. IEEE (2015)
2. Abreu, J.G., Teixeira, J.M., Figueiredo, L.S., Teichrieb, V.: Evaluating sign language recognition using the myo armband. In: 2016 XVIII symposium on virtual and augmented reality (SVR), pp. 64–70. IEEE (2016)
3. Al Farid, F., Hashim, N., Abdullah, J., Bhuiyan, M.R., Shahida Mohd Isa, W.N., Uddin, J., Haque, M.A., Husen, M.N.: A structured and methodological review on vision-based hand gesture recognition system. J. Imaging 8(6), 153 (2022)
4. Al-Hammadi, M., Bencherif, M.A., Alsulaiman, M., Muhammad, G., Mekhtiche, M.A., Abdul, W., Alohali, Y.A., Alrayes, T.S., Mathkour, H., Faisal, M., et al.: Spatial attention-based 3d graph convolutional neural network for sign language recognition. Sensors 22(12), 4558 (2022)
5. Al-Hammadi, M., Muhammad, G., Abdul, W., Alsulaiman, M., Bencherif, M.A., Alrayes, T.S., Mathkour, H., Mekhtiche, M.A.: Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation. IEEE Access 8, 192527–192542 (2020). https://doi.org/10.1109/ACCESS.2020.3032140
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