Introduction of Fingerspelling for Realizing a User Authentication Method Using s-EMG
Introduction of Fingerspelling for Realizing a User Authentication Method Using s-EMG
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介绍使用 s-EMG 实现用户身份验证方法的指纹拼写
DOI：
10.1007/978-3-030-15035-8_67
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Naonobu Okazaki
中科院分区：
文献类型：
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作者：
Hisaaki Yamaba;Shimpei Inotani;Shotaro Usuzaki;Kayoko Takatsuka;Kentaro Aburada;Tetsuro Katayama;Mirang Park;Naonobu Okazaki
目前，平板电脑和智能手机等移动设备已经广泛渗透到我们的日常生活中。因此，需要一种防止肩部冲浪的认证方法。我们正在研究一种新的移动设备用户认证方法，该方法使用表面肌电图（s-EMG）信号，而不是触摸屏幕。在皮肤表面检测到的s-EMG信号是由肌肉纤维收缩时的电活动产生的。肌肉运动可以通过肌电图进行区分。利用这些特征，我们在之前的研究中提出了一种使用手势列表作为密码的方法。为了实现这种方法，我们必须准备许多用于组成密码的手势。在本文中，我们采用手指拼写作为这类手势的候选。我们测量了《日本手语音节表》中假名的s-EMG信号，并考察了他们对密码认证方法的使用能力。
At the present time, mobile devices such as tablet-type PCs and smart phones have widely penetrated into our daily lives. Therefore, an authentication method that prevents shoulder surfing is needed. We are investigating a new user authentication method for mobile devices that uses surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are detected over the skin surface, are generated by the electrical activity of muscle fibers during contraction. Muscle movement can be differentiated by analyzing the s-EMG. Taking advantage of the characteristics, we proposed a method that uses a list of gestures as a password in the previous study. In order to realize this method, we have to prepare many gestures that are used to compose passwords. In this paper, we adopted fingerspelling as candidates of such gestures. We measured s-EMG signals of manual kana of The Japanese Sign Language syllabary and examined their ability for the use of passwords of the authentication method.