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Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Self Organizing Maps and Bit Signature: a study applied.

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Presentation on theme: "Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Self Organizing Maps and Bit Signature: a study applied."— Presentation transcript:

1 Intelligent Database Systems Lab 國立雲林科技大學 National Yunlin University of Science and Technology 1 Self Organizing Maps and Bit Signature: a study applied on Signal Language Recognition Presenter : Wei-Hao Huang Authors : Marrony N. Neris, Alexandre J. Silva, Sarajane M. Peres, Franklin C. Flores IJCNN, 2008

2 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 2 Outlines Motivation Objectives Methodology Experiments Conclusions Comments

3 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 3 Motivation  In Brazil1 verified that 3.3% of 169,872,856 Brazilians are deaf or are people that claim to have great difficulty to listen.  Assistive technologies are destined to make easy the life of disabled people.

4 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Objectives 4  To propose an artificial neural network application and a style of image representation on the LIBRAS (Brazilian Signal Language) recognition problem. Process O

5 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 5 Methodology Bit Signature Unified Distance Matrix (U-Matrix) Self Organizing Map

6 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Bit Signature 6 Horizontal bit signatureVertical bit signature

7 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Unified Distance Matrix (U-Matrix) 7 SOM map Three clusters ProcessU-Matrix

8 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 8 SOM training process U-matrix

9 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 9 SOM map labeling process U-matrix

10 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 10 SOM testing process

11 Intelligent Database Systems Lab N.Y.U.S.T. I. M. Experiments 11 26 LIBRAS signals46 LIBRAS signals

12 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 12 Conclusions  The generalization demanded by this situation is really hard, but this approach is able to realize a good work.  The future work is to improve recognizer performance.

13 Intelligent Database Systems Lab N.Y.U.S.T. I. M. 13 Comments  Advantages ─ Visual analysis  Applications ─ SOM


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