| Presentation | 2020-03-04 Studies on Biometrics Authentication by Behavioral Features at Flick Input Wataru motoyama, Shinnya Fukumoto, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As the penetration rate of smartphones increases, the importance of secrecy in personal authentication is increasing. In this study, we investigated personal authentication method by behavioral features from tap data of smartphone when flick entered. In the experiment, touch coordinate data was obtained from a flick input of a text of 10 characters or less, and converted to behavioral feature data, and then classification learning was performed. The experimental results showed that the support vector machine had a discrimination accuracy of 94.1% and that of the k-nearest neighbor method the authentication accuracy was 97.8% for 10 users. In addition, the discrimination accuracy was improved by 3.3% by reducing the dimension of the feature. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Biometrics / Biometric Authentication Technology / Behavioral Features / Identification / Authentication / Machine Learning / Smartphone / Flick Input |
| Paper # | BioX2019-68,CNR2019-51 |
| Date of Issue | 2020-02-26 (BioX, CNR) |
| Conference Information | |
| Committee | BioX / CNR |
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| Conference Date | 2020/3/4(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akira Otsuka(IISEC) / Kazunori Takashio(Keio Univ.) |
| Vice Chair | Tetsushi Ohki(Shizuoka Univ.) / Takahiro Aoki(Fujitsu Labs.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
| Secretary | Tetsushi Ohki(Univ. of Electro-Comm.) / Takahiro Aoki(SECOM) / Masayuki Kanbara(Shibaura Inst. of Tech.) / Yoshihiko Murakawa(Panasonic) |
| Assistant | Daishi Watabe(Saitama Inst. of Tech.) / Ryota Horie(Shibaura Inst. of Tech.) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(ＮＴＴ) |
| Paper Information | |
| Registration To | Technical Committee on Biometrics / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Studies on Biometrics Authentication by Behavioral Features at Flick Input |
| Sub Title (in English) | |
| Keyword(1) | Biometrics |
| Keyword(2) | Biometric Authentication Technology |
| Keyword(3) | Behavioral Features |
| Keyword(4) | Identification |
| Keyword(5) | Authentication |
| Keyword(6) | Machine Learning |
| Keyword(7) | Smartphone |
| Keyword(8) | Flick Input |
| 1st Author's Name | Wataru motoyama |
| 1st Author's Affiliation | Kagoshima University(Kagoshima Univ.) |
| 2nd Author's Name | Shinnya Fukumoto |
| 2nd Author's Affiliation | Kagoshima University(Kagoshima Univ.) |
| 3rd Author's Name | Masayuki Kashima |
| 3rd Author's Affiliation | Kagoshima University(Kagoshima Univ.) |
| 4th Author's Name | Kiminori Sato |
| 4th Author's Affiliation | Tokyo University of Technology(TUT) |
| 5th Author's Name | Mutsumi Watanabe |
| 5th Author's Affiliation | Kagoshima University(Kagoshima Univ.) |
| Date | 2020-03-04 |
| Paper # | BioX2019-68,CNR2019-51 |
| Volume (vol) | vol.119 |
| Number (no) | BioX-445,CNR-446 |
| Page | pp.pp.35-40(BioX), pp.35-40(CNR), |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (BioX, CNR) |