| Presentation | 1998/5/25 A handwriting model by timing information optimization of motion via-points Yasuhiro WADA, Mitsuo KAWATO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have already proposed a computational handwriting model based on the optimization principle. The computational theory, the representation level, and the hardware involved are the minimum torque-change criterion, a set of via-points extracted from handwritten characters, and a forward-inverse-relaxation neural network model, respectively. However, for via-point representation of the model, both timing information and spatial information are needed. In this report, we propose a new model in which the time passing through via-points is estimated by optimizing the criterion. The model is studied theoretically, and it is shown that the trajectory generated by the model is the same as human data in experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | computational theory / handwriting model / via-point / optimization / motion duration |
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| Committee | NC |
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| Conference Date | 1998/5/25(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| 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) | A handwriting model by timing information optimization of motion via-points |
| Sub Title (in English) | |
| Keyword(1) | computational theory |
| Keyword(2) | handwriting model |
| Keyword(3) | via-point |
| Keyword(4) | optimization |
| Keyword(5) | motion duration |
| 1st Author's Name | Yasuhiro WADA |
| 1st Author's Affiliation | Nagaoka University of Technology() |
| 2nd Author's Name | Mitsuo KAWATO |
| 2nd Author's Affiliation | ATR Human Inf.Proc.Res.Lab. |
| Date | 1998/5/25 |
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| Volume (vol) | vol.98 |
| Number (no) | 77 |
| Page | pp.pp.- |
| #Pages | 8 |
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