Multimodal fusion hierarchical self-attention network for dynamic hand gesture recognition

Author:

Balaji Pranav,Ranjan Prusty Manas

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference40 articles.

1. Q. De Smedt, H. Wannous, J.-P. Vandeborre, J. Guerry, B. Le Saux, and D. Filliat, Shrec’17 track: 3d hand gesture recognition using a depth and skeletal dataset, in: 3DOR-10th Eurographics Workshop on 3D Object Retrieval, 2017, pp. 1–6.

2. Dynamic hand gesture recognition using 3d-cnn and lstm networks;Rehman;Comput. Mater. Contin.,2021

3. Dynamic hand gesture recognition using 3DCNN and LSTM with FSM context-aware model;Hakim;Sensors,2019

4. Y. Chen, L. Zhao, X. Peng, J. Yuan, D.N. Metaxas, Construct dynamic graphs for hand gesture recognition via spatial-temporal attention, Brit. Mach. Vision Conf. 2019.

5. K. Yang, R. Li, P. Qiao, Q. Wang, D. Li, Y. Dou, Temporal pyramid relation network for video-based gesture recognition, in: 25th IEEE International Conference on Image Processing (ICIP), 2018, pp. 3104–3108.

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