Screen lock is a critical security feature for smartphones to prevent unauthorized access. Although various screen unlocking technologies, including fingerprint and facial recognition, have been widely adopted, they still have some limitations. For example, fingerprints can be stolen by special material stickers and facial recognition systems can be cheated by 3D-printed head models. In this paper, we propose EmgAuth, a novel electromyography(EMG)-based smartphone unlocking system based on the Siamese network. EmgAuth enables users to unlock their smartphones by leveraging the EMG data of the smartphone users collected from Myo armbands. When training the Siamese network, we design a special data augmentation technique to make the system resilient to the rotation of the armband, which makes EmgAuth free of calibration. We conduct extensive experiments including 53 participants and the evaluation results verify that EmgAuth can effectively authenticate users with an average true acceptance rate of 91.81% while keeping the average false acceptance rate of 7.43%. In addition, we also demonstrate that EmgAuth can work well for smartphones with different screen sizes and for different scenarios when users are placing smartphones at different locations and with different orientations. EmgAuth shows great promise to serve as a good supplement for existing screen unlocking systems to improve the safety of smartphones.

翻译：屏幕屏幕锁是智能手机防止未经授权访问的关键安全特征。 尽管各种屏幕解锁技术,包括指纹和面部识别已被广泛采用, 但它们仍然有一些限制。 例如, 指纹可能被特殊材料标签和面部识别系统盗取, 3D打印的头型模型可以欺骗。 在本文中, 我们提议使用基于Siamese网络的新型电子摄影(EMGG)智能手机解锁系统EmgAuth。 EmgAuth 使用户能够利用从 Myo 臂带收集的智能手机用户的 EG 数据解锁智能手机。 在培训Siamese 网络时, 我们设计了一种特殊的数据增强技术, 使系统适应手环的旋转, 使Empauth 无需校准。 我们进行了广泛的实验, 包括53名参与者, 并且评估结果证实EngAuth能够有效地认证平均真实接受率为91.81%的用户, 同时保持7.43%的平均错误接受率。 此外, 我们还表明 Enguth 能够很好地使用不同屏幕智能手机, 和为不同的智能定位提供不同的智能定位, 。