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SOM and Bit Signature for Sign Language Recognition

Explore the application of Self-Organizing Maps and Bit Signature in recognizing Brazilian Sign Language (LIBRAS) for the deaf community. Detailed methodology, experiments, conclusions, and comments included. The study aims to advance assistive technologies to enhance the lives of disabled individuals.

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SOM and Bit Signature for Sign 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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