| Presentation | 2015-03-05 Living area extraction using staying places and routes Yuji MATSUO, Sunao HARA, Masanobu ABE, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In these days, demands for watching out for the safety of elderly and children are extremely increasing. To make the quality of the watching better, we think that living area plays an important role. Therefore, in this paper, we propose an algorithm to estimate living area of a person from his/her accumulated GPS data. The living area is defined by important places and routes. First, taking visiting frequency into account, important places are extracted, then routes are found so as to connect the important places using best-first search. Experiments are carried out for 3 users and evaluated by precision and recall. We confirmed that the proposed algorithm has better performance than a conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | GPS data / Living Area / Surveillance System |
| Paper # | LOIS2014-74 |
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| Conference Information | |
| Committee | LOIS |
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| Conference Date | 2015/2/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Life Intelligence and Office Information Systems (LOIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Living area extraction using staying places and routes |
| Sub Title (in English) | |
| Keyword(1) | GPS data |
| Keyword(2) | Living Area |
| Keyword(3) | Surveillance System |
| 1st Author's Name | Yuji MATSUO |
| 1st Author's Affiliation | Graduate school of Natural Science and Technology, Okayama University() |
| 2nd Author's Name | Sunao HARA |
| 2nd Author's Affiliation | Graduate school of Natural Science and Technology, Okayama University |
| 3rd Author's Name | Masanobu ABE |
| 3rd Author's Affiliation | Graduate school of Natural Science and Technology, Okayama University |
| Date | 2015-03-05 |
| Paper # | LOIS2014-74 |
| Volume (vol) | vol.114 |
| Number (no) | 500 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |