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視線の特徴量を用いたあみだくじ型視線認証
http://hdl.handle.net/10458/00010098
http://hdl.handle.net/10458/00010098b215a37a-8167-4b1b-bb2a-33af69ba2e24
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (1.2 MB)
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| Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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| 公開日 | 2020-11-12 | |||||
| タイトル | ||||||
| タイトル | 視線の特徴量を用いたあみだくじ型視線認証 | |||||
| 言語 | ja | |||||
| タイトル | ||||||
| タイトル | Amidakuji-type Gaze Authentication Using Gaze Features | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | gaze authentication | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | eye tracking | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | gaze features | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | SVM | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | shoulder surfing | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| 著者 |
宮崎, 翔吾
× 宮崎, 翔吾× 國房, 弘夢× 油田, 健太郎× 山場, 久昭× 岡崎, 直宣× 宮崎, 翔吾× 國房, 弘夢 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Electronic terminals such as smartphones and personal computers are exploding, and require personal authentication to determine whether the user who is using the terminal is himself or herself to prevent spoofing and unauthorized access Opportunities are increasing. For personal authentication, authentication based on storage of a password or a password or authentication using a tool such as an IC card or a face photograph is often used. However, in the case of a method in which the password is directly input with a button or a finger, the password may be known to a third party by peeping. In addition, biometrics authentication using biometric information such as behavioral characteristics of an individual has been actively studied in personal authentication, and features (individual habits) appearing in handwriting, gait, trajectories of eyes, etc. are used for authentication. These behavioral features have the advantage that they are less likely to be duplicated, and may be used in conjunction with other authentication methods. In this paper, we focus on authentication using behavioral characteristics of individuals, create two-factor authentication based on personal identification using features extracted from gaze data, based on preliminary research using Amidakuji, and verify authentication time and authentication precision. An experiment to verify the success rate was described. It was suggested that both the authentication time and the authentication success rate improved, and that the identity could be identified with an accuracy of 80% or more. | |||||
| 言語 | en | |||||
| 書誌情報 |
ja : 宮崎大学工学部紀要 en : Memoirs of Faculty of Engineering, University of Miyazaki 巻 49, p. 129-133, 発行日 2020-09 |
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| 出版者 | ||||||
| 出版者 | 宮崎大学工学部 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | Faculty of Engineering, University of Miyazaki | |||||
| 言語 | en | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 05404924 | |||||
| 書誌レコードID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AA00732558 | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
