Review of Data Preprocessing Methods for Sign Language Recognition Systems based on Artificial Neural Networks

Aleksejs Zorins, Pēteris Grabusts


The article presents an introductory analysis of relevant research topic for Latvian deaf society, which is the development of the Latvian Sign Language Recognition System. More specifically the data preprocessing methods are discussed in the paper and several approaches are shown with a focus on systems based on artificial neural networks, which are one of the most successful solutions for sign language recognition task.


Artificial neural networks; sign language recognition

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