A data driven in-air-handwriting biometric authentication system
A data driven in-air-handwriting biometric authentication system
复制标题
数据驱动的空中手写生物识别系统
DOI：
10.1109/btas.2017.8272739
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Dijiang Huang
中科院分区：
文献类型：
--
作者：
Duo Lu;Kai Xu;Dijiang Huang
基于手势的人机交互界面不需要传统的键盘、鼠标等输入设备，需要新的用户认证技术。在本文中，我们提出了一种新的基于手指手势的身份验证方法，其中每个用户的空气中的手写被可穿戴惯性传感器捕获。我们的方法的特点是利用的内容和书写约定，这被证明是必不可少的用户识别问题的实验。基于从手部运动信号中提取的特征，建立支持向量机（SVM）分类器。为了定量基准的建议框架，我们建立了一个原型系统与自定义的数据手套设备。实验结果表明，我们的系统实现了0.1%的等错误率（EER）的数据集包含200个帐户，由116个用户创建。与现有的基于手势的生物特征认证系统相比，该方法提供了显着的性能改善。
The gesture-based human-computer interface requires new user authentication technique because it does not have traditional input devices like keyboard and mouse. In this paper, we propose a new finger-gesture-based authentication method, where the in-air-handwriting of each user is captured by wearable inertial sensors. Our approach is featured with the utilization of both the content and the writing convention, which are proven to be essential for the user identification problem by the experiments. A support vector machine (SVM) classifier is built based on the features extracted from the hand motion signals. To quantitatively benchmark the proposed framework, we build a prototype system with a custom data glove device. The experiment result shows our system achieve a 0.1% equal error rate (EER) on a dataset containing 200 accounts that are created by 116 users. Compared to the existing gesture-based biometric authentication systems, the proposed method delivers a significant performance improvement.