A Real-Time Hand-Gesture Recognition Using Deep Learning Techniques
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61471-2_37
Reference15 articles.
1. Oudah, M., Al-Naji, A., Chahl, J.: Hand gesture recognition based on computer vision: a review of techniques. J. Imaging 6, 73 (2020)
2. Teachasrisaksakul, K., Wu, L., Yang, G.Z., Lo, B.: Hand gesture recognition with inertial sensors. In: Annual International Conference on IEEE Engineering in Medicine and Biology Society, July 2018, pp. 3517–3520 (2018)
3. Li, G., Tang, H., Sun, Y., et al.: Hand gesture recognition based on convolution neural network. In: Cluster Computing (2017)
4. Liu, J., Furusawa, K., Tateyama, T., Iwamoto, Y., Chen, Y.W.: An improved hand gesture recognition with two-stage convolution neural networks using a hand color image and its pseudo-depth image. In: 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, pp. 375–379 (2019)
5. Ansar, H., et al.: Hand gesture recognition for characters understanding using convex hull landmarks and geometric features. IEEE Access 11, 82065–82078 (2023)
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