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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| 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 |