Transfer Learning CNN American Sign Language
- Citation Author(s):
-
Manuel Eugenio Morocho Cayamcela
- Submitted by:
- Manuel Eugenio Morocho-Cayamcela
- Last updated:
- DOI:
- 10.21227/4dz0-xv55
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- Research Article Link:
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Abstract
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.
Great reference in other country sign langauge alphabet
Andres Velandia
Wed, 02/10/2021 - 19:57
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