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User Authentication Method Using Active Acoustic Sensing
https://ipsj.ixsq.nii.ac.jp/records/210676
https://ipsj.ixsq.nii.ac.jp/records/210676ceed4700-4c3c-4e7e-80b4-7ea89287ec4d
| 名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2021 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||||
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| 公開日 | 2021-04-15 | |||||||||||
| タイトル | ||||||||||||
| タイトル | User Authentication Method Using Active Acoustic Sensing | |||||||||||
| タイトル | ||||||||||||
| 言語 | en | |||||||||||
| タイトル | User Authentication Method Using Active Acoustic Sensing | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| キーワード | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | [一般論文] wearable computing, smartwatch, user identification, user authentification, ultrasound | |||||||||||
| 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 | journal article | |||||||||||
| 著者所属 | ||||||||||||
| Hokkaido University | ||||||||||||
| 著者所属 | ||||||||||||
| Hokkaido University | ||||||||||||
| 著者所属 | ||||||||||||
| Hokkaido University | ||||||||||||
| 著者所属(英) | ||||||||||||
| en | ||||||||||||
| Hokkaido University | ||||||||||||
| 著者所属(英) | ||||||||||||
| en | ||||||||||||
| Hokkaido University | ||||||||||||
| 著者所属(英) | ||||||||||||
| en | ||||||||||||
| Hokkaido University | ||||||||||||
| 著者名 |
Hiroki, Watanabe
× Hiroki, Watanabe
× Hiroaki, Kakizawa
× Masanori, Sugimoto
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| 著者名(英) |
Hiroki, Watanabe
× Hiroki, Watanabe
× Hiroaki, Kakizawa
× Masanori, Sugimoto
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| 論文抄録 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | Personal authentication of the wearable device is important because it has become personalized. Personal identification number (PIN) is generally used to identify the user. However, the user has to remember the PIN and it is easily attacked by shoulder hacking. Therefore, in this study, we propose an authentication method using active acoustic sensing to the user's body. Concretely, the speaker transmits the ultrasonic signal to the user's body and the microphone receives the reflected signal from the body. Each user has a different body composition, and it causes a different frequency response. The system authenticates the user utilizing the difference. Moreover, to improve authentication performance, we add four hand poses to authenticate. Since the proposed method requires one hand for authentication, it is suitable for the wearable computing environment. We implemented the prototype and evaluated the proposed method with nine participants. The evaluation results confirmed that the accuracy of user identification was 91.2% and the equal error rate of user authentication was 2.94% using four hand poses. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.29(2021) (online) DOI http://dx.doi.org/10.2197/ipsjjip.29.370 ------------------------------ |
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| 論文抄録(英) | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | Personal authentication of the wearable device is important because it has become personalized. Personal identification number (PIN) is generally used to identify the user. However, the user has to remember the PIN and it is easily attacked by shoulder hacking. Therefore, in this study, we propose an authentication method using active acoustic sensing to the user's body. Concretely, the speaker transmits the ultrasonic signal to the user's body and the microphone receives the reflected signal from the body. Each user has a different body composition, and it causes a different frequency response. The system authenticates the user utilizing the difference. Moreover, to improve authentication performance, we add four hand poses to authenticate. Since the proposed method requires one hand for authentication, it is suitable for the wearable computing environment. We implemented the prototype and evaluated the proposed method with nine participants. The evaluation results confirmed that the accuracy of user identification was 91.2% and the equal error rate of user authentication was 2.94% using four hand poses. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.29(2021) (online) DOI http://dx.doi.org/10.2197/ipsjjip.29.370 ------------------------------ |
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| 書誌レコードID | ||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||
| 収録物識別子 | AN00116647 | |||||||||||
| 書誌情報 |
情報処理学会論文誌 巻 62, 号 4, 発行日 2021-04-15 |
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| ISSN | ||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||
| 収録物識別子 | 1882-7764 | |||||||||||