Optimal video processing and soft computing algorithms for human hand gesture recognition from real-time video
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17608-8.pdf
Reference48 articles.
1. Chen R, Wang S, Gong L, Liu C (2013) Hand gesture recognition for human-computer interaction using moment invariants and neural network classifier. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lect Notes Comput Sci(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_66
2. Swapna B, Pravin F, Dharaskar Rajiv V (2011) Hand gesture recognition system for numbers using thresholding. In: Das, V.V., Thankachan, N. (eds) Computational Intelligence and Information Technology. CIIT 2011. Commun Comput Inf Sci, vol 250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25734-6_139
3. Wang F, Hu R, Jin Y (2021) Research on gesture image recognition method based on transfer learning. Proced Comput Sci 187:140–145. https://doi.org/10.1016/j.procs.2021.04.044
4. Li Y, Huang J, Feng TIAN, Hong’an WANG, Guozhong DAI (2019) Gesture interaction in virtual reality. Virtual Real Intell Hardw 1:9. https://doi.org/10.3724/SP.J.2096-5796.2018.0006
5. Bowman-Smart H, Gyngell C, Morgan A et al (2019) The moral case for sign language education. Monash Bioeth Rev 37:94–110. https://doi.org/10.1007/s40592-019-00101-0
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