Name
Title | ||
|---|---|---|
A Set of Neural Tools for Human-Computer Interactions: Application to the Handwritten Character Recognition, and Visual Speech Recognition Problems |
Abstract | ||
|---|---|---|
This paper presents a new technique of data coding and an associated set of homogenous processing tools for the development
of Human Computer Interactions (HCI). The proposed technique facilitates the fusion of different sensorial modalities and
simplifies the implementations. The coding takes into account the spatio-temporal nature of the signals to be processed in
the framework of a sparse representation of data. Neural networks adapted to such a representation of data are proposed to
perform the recognition tasks. Their development is illustrated by two examples: one of on-line handwritten character recognition;
and the other of visual speech recognition. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/s005210070007 | Neural Computing and Applications |
Keywords | DocType | Volume |
spatio- temporal coding,on-line handwritten character recognition,human-machine interaction,spatio-temporal patterns,visual speech recognition,spiking neurons,spatio-temporal neural networks,lipreading | Journal | 9 |
Issue | ISSN | Citations |
4 | 1433-3058 | 1 |
PageRank | References | Authors |
0.37 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gilles Vaucher | 1 | 13 | 3.60 |
| Abdul Rauf Baig | 2 | 126 | 15.82 |
| Renaud Séguier | 3 | 166 | 16.72 |