Hand Gesture Recognition for User Interaction in Augmented Reality (AR) Experience
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05939-1_20
Reference24 articles.
1. Agrawal, M., Ainapure, R., Agrawal, S., Bhosale, S., Desai, S.: Models for hand gesture recognition using deep learning. In: 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), pp. 589–594 (2020). https://doi.org/10.1109/ICCCA49541.2020.9250846
2. Bao, P., Maqueda, A.I., del Blanco, C.R., García, N.: Tiny hand gesture recognition without localization via a deep convolutional network. IEEE Trans. Consum. Electron. 63(3), 251–257 (2017)
3. Devineau, G., Moutarde, F., Xi, W., Yang, J.: Deep learning for hand gesture recognition on skeletal data. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 106–113. IEEE (2018)
4. Girshick, R.: Fast R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1440–1448 (2015)
5. Grzejszczak, T., Kawulok, M., Galuszka, A.: Hand landmarks detection and localization in color images. Multimedia Tools Appl. 75(23), 16363–16387 (2015). https://doi.org/10.1007/s11042-015-2934-5
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