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Self Organizing Maps and Bit Signature: a study applied on Signal Language Recognition

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. Outlines. Motivation Objectives Methodology Experiments

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Self Organizing Maps and Bit Signature: a study applied on Signal Language Recognition

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  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. Outlines • Motivation • Objectives • Methodology • Experiments • Conclusions • Comments

  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. Objectives • To propose an artificial neural network application and a style of image representation on the LIBRAS (Brazilian Signal Language) recognition problem. O Process

  5. Methodology • Bit Signature • Unified Distance Matrix (U-Matrix) • Self Organizing Map

  6. Bit Signature Horizontal bit signature Vertical bit signature

  7. Unified Distance Matrix (U-Matrix) SOM map Process U-Matrix Three clusters

  8. SOM training process U-matrix

  9. SOM map labeling process U-matrix

  10. SOM testing process

  11. Experiments 26 LIBRAS signals 46 LIBRAS signals

  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. Comments • Advantages • Visual analysis • Applications • SOM

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