| Presentation | 2012-05-28 Evaluation of Self Mapping Characteristics for Quantification of Head Motion Momoyo ITO, Kazuhito SATO, Minoru FUKUMI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Many car accidents are caused by driver's deviation from normal condition like carelessness. We aim to construct a driving assist system that is able to detect driver's deviation signal from normal condition. The system detects the deviation signal using driver's time-series head motion information. In this paper, we analyze driving movies taken by monocular in-vehicle camera, and propose a quantifiable categorizing algorithm of head motion using two kinds of unsupervised neural networks. Through an experiment on actual driving data, the results provide a possibility of quantification of individual head position in safety verifications. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Drive assist / Head motion / SOMs / Fuzzy ART |
| Paper # | NLP2012-28 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2012/5/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Self Mapping Characteristics for Quantification of Head Motion |
| Sub Title (in English) | |
| Keyword(1) | Drive assist |
| Keyword(2) | Head motion |
| Keyword(3) | SOMs |
| Keyword(4) | Fuzzy ART |
| 1st Author's Name | Momoyo ITO |
| 1st Author's Affiliation | Institute of Technology and Science, The University of Tokushima() |
| 2nd Author's Name | Kazuhito SATO |
| 2nd Author's Affiliation | Faculty of Systems Science and Technology, Akita Prefectural University |
| 3rd Author's Name | Minoru FUKUMI |
| 3rd Author's Affiliation | Institute of Technology and Science, The University of Tokushima |
| Date | 2012-05-28 |
| Paper # | NLP2012-28 |
| Volume (vol) | vol.112 |
| Number (no) | 69 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |