A Gesture Recognition Method Based on Spiking Neural Networks for Cognition Development

Author(s):  
Dong Niu ◽  
Dengju Li ◽  
Rui Yan ◽  
Huajin Tang
Author(s):  
Ali Safa ◽  
Federico Corradi ◽  
Lars Keuninckx ◽  
Ilja Ocket ◽  
Andre Bourdoux ◽  
...  

Author(s):  
Ali Safa ◽  
Andre Bourdoux ◽  
Ilja Ocket ◽  
Francky Catthoor ◽  
Georges G. E. Gielen

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Raimundo F. Pinto ◽  
Carlos D. B. Borges ◽  
Antônio M. A. Almeida ◽  
Iális C. Paula

This paper proposes a gesture recognition method using convolutional neural networks. The procedure involves the application of morphological filters, contour generation, polygonal approximation, and segmentation during preprocessing, in which they contribute to a better feature extraction. Training and testing are performed with different convolutional neural networks, compared with architectures known in the literature and with other known methodologies. All calculated metrics and convergence graphs obtained during training are analyzed and discussed to validate the robustness of the proposed method.


2012 ◽  
Vol 35 (12) ◽  
pp. 2633 ◽  
Author(s):  
Xiang-Hong LIN ◽  
Tian-Wen ZHANG ◽  
Gui-Cang ZHANG

2020 ◽  
Vol 29 (6) ◽  
pp. 1153-1164
Author(s):  
Qianyi Xu ◽  
Guihe Qin ◽  
Minghui Sun ◽  
Jie Yan ◽  
Huiming Jiang ◽  
...  

2020 ◽  
Vol 121 ◽  
pp. 88-100 ◽  
Author(s):  
Jesus L. Lobo ◽  
Javier Del Ser ◽  
Albert Bifet ◽  
Nikola Kasabov

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