| Presentation | 2018-11-22 Individuality Extraction from Flick Action Trajectory for Personal Identification on Smartphones Masashi Sekikawa, Yuta Ozawa, Kohei Minemura, Masaki Kyoso, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Latest smartphones which have many functions deal with many personal information. Therefore, advanced security measures are required. As a conventional security countermeasure, fingerprints and face authentications using passwords, pattern inputs, physical features of biometric authentication are mainstream. However, there are problems that passwords and pattern inputs are weak against peeps and brute force method / brute force attack, biometric authentication such as fingerprints can be copied and unconscious authentication is difficult. Therefore, in this research, we propose an authentication method for flick operation on smartphone focusing on behavioral features of biometric authentication. Trajectory data from the start to the end of the touch was acquired for 10 subjects by the measurement application from the flick operation. And we performed individual identification by neural network. By discriminating between the vertical direction vertical coordinate and the lateral direction horizontal coordinate, it was possible to obtain an identification rate of 34 to 100% as the discrimination rate. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Biometrics / Smartphone / Flick Action / Trajectory / Personal Identification / Neural Network |
| Paper # | MBE2018-43 |
| Date of Issue | 2018-11-15 (MBE) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2018/11/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) |
| Vice Chair | Taishin Nomura(Osaka Univ.) / Hayaru Shouno(UEC) |
| Secretary | Taishin Nomura(Kindai Univ.) / Hayaru Shouno(Nagoya Univ.) |
| Assistant | Takumi Kobayashi(YNU) / Ｙａｓｕｙｕｋｉ Ｓｕｚｕｋｉ(Osaka Univ.) / Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Individuality Extraction from Flick Action Trajectory for Personal Identification on Smartphones |
| Sub Title (in English) | |
| Keyword(1) | Biometrics |
| Keyword(2) | Smartphone |
| Keyword(3) | Flick Action |
| Keyword(4) | Trajectory |
| Keyword(5) | Personal Identification |
| Keyword(6) | Neural Network |
| 1st Author's Name | Masashi Sekikawa |
| 1st Author's Affiliation | Tokyo City University(TCU) |
| 2nd Author's Name | Yuta Ozawa |
| 2nd Author's Affiliation | Tokyo City University(TCU) |
| 3rd Author's Name | Kohei Minemura |
| 3rd Author's Affiliation | Tokyo City University(TCU) |
| 4th Author's Name | Masaki Kyoso |
| 4th Author's Affiliation | Tokyo City University(TCU) |
| Date | 2018-11-22 |
| Paper # | MBE2018-43 |
| Volume (vol) | vol.118 |
| Number (no) | MBE-321 |
| Page | pp.pp.35-39(MBE), |
| #Pages | 5 |
| Date of Issue | 2018-11-15 (MBE) |