“Hand Model” – A Static Sinhala Sign Language Translation Using Media-Pipe and SVM Compared with Hybrid Model of KNN, SVM and Random Forest Algorithms

Author:

Gedaragoda G.H.M.S.C1,Wijesinghe W.R.S1,T.R Abeywickrama1,Lokuliyana Shashika1,Mahaadikara Hansika1

Affiliation:

1. Sri Lanka Institute of Information Technology,Faculty of Computing,Department of Computer Systems Engineering,Malabe,Sri Lanka

Publisher

IEEE

Reference16 articles.

1. The Origin of Human Language, Studies in Language Origins;B,1991

2. Sign Language Recognition using Neural Networks;Ðogić;TEM Journal,2014

3. Review of The Linguistics of British Sign Language: An Introduction;Farnell;Anthropological Linguistics,2002

4. Convolutional Neural Networks: A Novel Approach for Sinhala Sign Recognition System

5. ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research

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