| Presentation | 2005/10/11 Bayesian Inference with Particle Filters for User Interface Hideki ASOH, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Bayesian inference for user interface is discussed. The problem of estimating hidden variable sequences is formulated within the Bayesian framework, and the particle filters are introduced as an approximative method to solve the problem. Inportant hidden variables for user interface are investigated. As an example, the problem of detecting and tracking moving human speech events by integrating audio and video signals is examined. Experiments demonstrate that the Bayesian inference with PF performs well for the data obtained in an ordinary meeting room. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | User Interface / Bayesian Inference / Particle Filter |
| Paper # | NC2005-51 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2005/10/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Bayesian Inference with Particle Filters for User Interface |
| Sub Title (in English) | |
| Keyword(1) | User Interface |
| Keyword(2) | Bayesian Inference |
| Keyword(3) | Particle Filter |
| 1st Author's Name | Hideki ASOH |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology, AIST() |
| Date | 2005/10/11 |
| Paper # | NC2005-51 |
| Volume (vol) | vol.105 |
| Number (no) | 342 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |