| Presentation | 2019-03-18 A Study of Comparison of Learning Algorithms for Pedestrian Identification Using 3-Axis Accelerometer of Smartphone Meng Cui, Yuji Watanabe, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have acquired triaxial acceleration from a smartphone device and have identified subjects during walking． In the previous study, we recorded the acceleration during walking with 19 subjects using 3 devices, extracted 49 features, and identified pedestrian using random forest． In this presentation, we compare results of applying multiple machine learning algorithms to these acceleration data. As a result of trial of linear model, random forest, and neural network for various parameter settings, the identification rate exceeding that of the previous research is obtained regardless of the device type using multilayered neural network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Gait Recognition / Smart Phone / Accelerometer / Random Forrest / Neural Network |
| Paper # | BioX2018-48,PRMU2018-152 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |
| Conference Information | |
| Committee | PRMU / BioX |
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| Conference Date | 2019/3/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Kazuhiko Sumi(AGU) |
| Vice Chair | Yoshihisa Ijiri(Omron) / Toru Tamaki(Hiroshima Univ.) / Hitoshi Imaoka(NEC) / Tetsushi Ohki(Shizuoka Univ.) |
| Secretary | Yoshihisa Ijiri(NEC) / Toru Tamaki(Osaka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) / Tetsushi Ohki(Univ. of Electro-Comm.) |
| Assistant | Go Irie(NTT) / Yoshitaka Ushiku(Univ. of Tokyo) / Norihiro Okui(KDDI Research) / Daishi Watabe(Saitama Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
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| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Comparison of Learning Algorithms for Pedestrian Identification Using 3-Axis Accelerometer of Smartphone |
| Sub Title (in English) | |
| Keyword(1) | Gait Recognition |
| Keyword(2) | Smart Phone |
| Keyword(3) | Accelerometer |
| Keyword(4) | Random Forrest |
| Keyword(5) | Neural Network |
| 1st Author's Name | Meng Cui |
| 1st Author's Affiliation | Nagoya City University(Nagoya City Univ.) |
| 2nd Author's Name | Yuji Watanabe |
| 2nd Author's Affiliation | Nagoya City University(Nagoya City Univ.) |
| Date | 2019-03-18 |
| Paper # | BioX2018-48,PRMU2018-152 |
| Volume (vol) | vol.118 |
| Number (no) | BioX-512,PRMU-513 |
| Page | pp.pp.113-118(BioX), pp.113-118(PRMU), |
| #Pages | 6 |
| Date of Issue | 2019-03-10 (BioX, PRMU) |