Over the past several years, the electrocardiogram (ECG) has been investigated for its uniqueness and potential to discriminate between individuals. This paper discusses how this discriminatory information can help in continuous user authentication by a wearable chest strap which uses dry electrodes to obtain a single lead ECG signal. To the best of the authors' knowledge, this is the first such work which deals with continuous authentication using a genuine wearable device as most prior works have either used medical equipment employing gel electrodes to obtain an ECG signal or have obtained an ECG signal through electrode positions that would not be feasible using a wearable device. Prior works have also mainly dealt with using the ECG signal for identification rather than verification, or dealt with using the ECG signal for discrete authentication. This paper presents a novel algorithm which uses QRS detection, weighted averaging, Discrete Cosine Transform (DCT), and a Support Vector Machine (SVM) classifier to determine whether the wearer of the device should be positively verified or not. Zero intrusion attempts were successful when tested on a database consisting of 33 subjects.
翻译:过去几年来,对心电图(ECG)进行了调查,因为其独特性和在个人之间有区别的潜力。本文讨论了这种歧视性信息如何有助于用用用干电极获得单一的铅ECG信号的穿戴式胸部带带不断进行用户认证。据作者所知,这是第一次使用真正可磨损装置进行连续认证的工作,因为大多数先前的工程都使用凝胶电极获取ECG信号的医疗设备,或通过电极位置获得ECG信号,而使用磨损装置是不可行的。以前的工作还主要涉及使用ECG信号进行识别,而不是核查,或者使用ECG信号进行独立认证。本文介绍了一种新型算法,使用QRS检测、加权平均、Discrete Cosine变形(DCT)和辅助矢量机(SVM)分类,以确定设备磨损器的磨损器是否应该得到肯定的验证。在由33个主体组成的数据库进行测试时,Zero入侵尝试是成功的。