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表面筋電位による個人認証のための指文字ベースのジェスチャの検討
http://hdl.handle.net/10458/6727
http://hdl.handle.net/10458/6727c5b9b975-4303-433d-9e66-16402087d270
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2020-06-21 | |||||
タイトル | ||||||
タイトル | 表面筋電位による個人認証のための指文字ベースのジェスチャの検討 | |||||
言語 | ja | |||||
タイトル | ||||||
タイトル | Investigation of Finger Character Based Gesture of Personal Authentication by sEMG | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | gesture, surface electromyography, authentication, fingercharacter | |||||
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 | |||||
その他(別言語等)のタイトル | ||||||
その他のタイトル | ヒョウメンキンデンイ ニヨル コジン ニンショウ ノ タメ ノ ユビモジ ベース ノ ジェスチャ ノ ケントウ | |||||
言語 | ja-Kana | |||||
著者 |
藤, 竜成
× 藤, 竜成× 猪谷, 平× 山場, 久昭× 油田, 健太郎× 岡崎, 直宣× 藤, 竜成× Inotani, Shinpei |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Leakage of important information such as personal information as the result of an authentication is passed through easily has been problem. In order to prevent the leakage of information, we need to lock the screen, which only the owner can do to require an authentication so as not to release the information to a third party. Generally, PIN is used for the authentication, but it doesn't have robust against peeping attacks. In order to solve the above problem, we need another authentication method that can authenticate the user even if it is peeped in. As one of the technology, biometrics authentications are usually adopted. The existing researchs have confirmed that the authentication method using the surface myoelectric potential which is one of the biometric information, the surface myoelectric potential, was useful. Also, as the system to be used for empirical experiments in the future, we examined whether we can adopt Myo, which is commercially available gesture input device. As the result, we verified it can be practically used without problems. We confirmed that the gestures can be distinguished by the support vector machine after setting the maximum value and the minimum value of the radio wave form as the characteristic amount. However, the authentication based on password string using gestures was not performed so far, and gestures used for the password string were not investigated. Therefore, in this research, we investigate gestures based on a finger character for the myoelectric potential authentication. | |||||
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 48, p. 217-221, 発行日 2019-07 |
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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 |