EyeTalk ( for more information see web presentation )
Our main goal is to build CNS in which our multimodal interfaces are embedded. The figure depicts our final product. The multimodal interfaces will be embedded in CNS. We will concentrate future work on enhancing the overall system speed, performance, and robustness. Optimal integration of multimode should be considered through many different approaches. Commercialization will come true if the system could be produced at low-cost and successfully embedded into CNS.
|
Final application of the experimental multimodal system in CNS |
|
A sample output of the experimental PC-based multimodal system. Each component is executed in parallel. |
Speech |
Speed - 0.3sec/word |
Word Recognition - 95% |
Lip |
Speed - 10 frames/sec |
Word Recognition - 50%(off-line test) |
Gaze |
Speed - 5 frames/sec |
Gaze Recognition - screen resolution 3 x 3 |
Integration |
Speed - 4~5frames/sec |
Overall Command Recognition - 70 ~ 80% |
We have been trying to enhance overall recognition rate up to 95%. |
||
|
||
กก