Fourier Descriptors Based Hand Gesture Recognition Using Neural Networks

Author:

Nene Rajas,Narain Pranay,Roja M. Mani,Somalwar Medha

Publisher

Springer International Publishing

Reference18 articles.

1. Parvini, F., Shahabi, C.: An algorithmic approach for static and dynamic gesture recognition utilising mechanical and biomechanical characteristics. Int. J. Bioinform. Res. Appl. 3(1), 4–23 (2007)

2. Dong, G., Yan, Y., Xie, M.: Vision-based hand gesture recognition for human-vehicle interaction. In: Paper Presented at the Proceedings of the International Conference on Control, Automation and Computer Vision (1998)

3. Ionescu, B., Coquin, D., Lambert, P., Buzuloiu, V.: Dynamic hand gesture recognition using the skeleton of the hand. EURASIP J. Appl. Signal Process. 2005, 2101–2109 (2005)

4. Swapna, B., Pravin, F., Rajiv, V.D.: Hand gesture recognition system for numbers using thresholding. In: Das, V.V., Thankachan, N. (eds.) Computational Intelligence and Information Technology, vol. 250. Springer, Heidelberg (2011)

5. Mekala, P., Gao, Y., Fan, J., Davari, A.: Real-time sign language recognition based on neural network architecture. In: 2011 IEEE 43rd Southeastern Symposium on System Theory (2011)

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