Malaysian Sign Language Recognition Using Skeleton Data with Neural Network

Malaysian Sign Language Recognition Using Skeleton Data with Neural Network

This paper proposed the Backpropagation Neural Network (BNN) for recognition of Malaysian Sign Language. The image acquisition is done with the help of skeletal tracking using a Kinect camera. The data samples tested there are 15 dynamic signs taken from the Malaysian Sign Language (MySL). Pre-proce...

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Bibliographic Details
Main Authors: Sutarman, na, Jasni, Mohamad Zain, Mazlina, Abdul Majid, Arief, Hermawan
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/10543/
http://umpir.ump.edu.my/id/eprint/10543/1/Malaysian%20Sign%20Language%20Recognition%20Using%20Skeleton%20Data%20with%20Neural%20Network.pdf

Internet

http://umpir.ump.edu.my/id/eprint/10543/
http://umpir.ump.edu.my/id/eprint/10543/1/Malaysian%20Sign%20Language%20Recognition%20Using%20Skeleton%20Data%20with%20Neural%20Network.pdf

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