Smart Computer Commands Using Gesture Recognition
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4626-6_21
Reference9 articles.
1. Guo X, Xu W, Tang WQ, Wen C (2019) Research on optimization of static gesture recognition based on convolution neural network. In: 2019 4th international conference on mechanical, control and computer engineering (ICMCCE), pp 398–3982. https://doi.org/10.1109/ICMCCE48743.2019.00095.
2. Cui H, Wang Y (2020) Research on gesture recognition method based on computer vision technology. In: 2020 International conference on computer information and big data applications (CIBDA), Guiyang, China, pp 358–362. https://doi.org/10.1109/CIBDA50819.2020.00087
3. Hoque SMA, Haq MS, Hasanuzzaman M (2018) Computer vision based gesture recognition for desktop object manipulation. In: 2018 International conference on innovation in engineering and technology (ICIET), pp 1–6. https://doi.org/10.1109/CIET.2018.8660916
4. Sun J-H, Ji T-T, Zhang S-B, Yang J-K, Ji G-R (2018) “Research on the hand gesture recognition based on deep learning. In: 2018 12th international symposium on antennas, propagation and EM theory (ISAPE), pp 1–4. https://doi.org/10.1109/ISAPE.2018.8634348
5. Golovanov R, Vorotnev D, Kalina D (2020) Combining hand detection and gesture recognition algorithms for minimizing computational cost. In: 2020 22th international conference on digital signal processing and its applications (DSPA), pp 1–4. https://doi.org/10.1109/DSPA48919.2020.9213273
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