Transfer Learning CNN American Sign Language

Transfer Learning CNN American Sign Language

Citation Author(s):
Manuel Eugenio
Morocho Cayamcela
Submitted by:
Manuel Eugenio ...
Last updated:
Tue, 02/18/2020 - 11:06
DOI:
10.21227/4dz0-xv55
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This dataset contains the images used in the paper "Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time". M. E. Morocho Cayamcela and W. Lim, "Fine-tuning a pre-trained Convolutional Neural Network Model to translate American Sign Language in Real-time," 2019 International Conference on Computing, Networking and Communications (ICNC), Honolulu, HI, USA, 2019, pp. 100-104.

Instructions: 

The code is written for MATLAB. We used transfer learning using AlexNet and GoogLeNet as convolutional neural network (CNN) backbones.

In MATLAB, replace the directory path with yours. If you want to recognize other classes, just add the images from different classes on labeled folders.

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[1] Manuel Eugenio Morocho Cayamcela, "Transfer Learning CNN American Sign Language", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/4dz0-xv55. Accessed: Feb. 28, 2020.
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url = {http://dx.doi.org/10.21227/4dz0-xv55},
author = {Manuel Eugenio Morocho Cayamcela },
publisher = {IEEE Dataport},
title = {Transfer Learning CNN American Sign Language},
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Manuel Eugenio Morocho Cayamcela. (2020). Transfer Learning CNN American Sign Language. IEEE Dataport. http://dx.doi.org/10.21227/4dz0-xv55
Manuel Eugenio Morocho Cayamcela, 2020. Transfer Learning CNN American Sign Language. Available at: http://dx.doi.org/10.21227/4dz0-xv55.
Manuel Eugenio Morocho Cayamcela. (2020). "Transfer Learning CNN American Sign Language." Web.
1. Manuel Eugenio Morocho Cayamcela. Transfer Learning CNN American Sign Language [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/4dz0-xv55
Manuel Eugenio Morocho Cayamcela. "Transfer Learning CNN American Sign Language." doi: 10.21227/4dz0-xv55