Skeleton Based Dynamic Hand Gesture Recognition using Short Term Sampling Neural Networks (STSNN)
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46305-1_30
Reference14 articles.
1. Nguyen, T.-N., Huynh, H.-H., Meunier, J.: Static hand gesture recognition using principal component analysis combined with artificial neural network. J. Autom. Control Eng. 3(1), 40–45 (2015)
2. Ahuja, M.K., Singh, A.: Static vision based hand gesture recognition using principal component analysis. In: 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education (MITE), pp. 402–406 (2015)
3. Maqueda, A.I., del Blanco, C.R., Jaureguizar, F., et al.: Human–computer interaction based on visual hand-gesture recognition using volumetric spatiograms of local binary patterns. Comput. Vis. Image Underst. 141, 126–137 (2015)
4. Pomboza-Junez, G., Terriza, J.H.: Hand gesture recognition based on sEMG signals using support vector machines. In: 2016 IEEE 6th International Conference on Consumer Electronics-Berlin (ICCE-Berlin), pp. 174–178 (2016)
5. Lowndes, A.B.: Deep Learning with GPU Technology for Image & Feature Recognition [D]. [S. l.]: Tesis de Grado]. University of Leeds (2015)
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