Gesture recognition implemented on a personal limited device

Benoit Ducray, Sheila Cobourne, K. Mayes, K. Markantonakis
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引用次数: 1

Abstract

For a biometrics system, one of the principal challenges is to protect the biometric reference template, as if a malicious individual is able to obtain this template, the genuine user would not be able to reuse the biometric for any application. A solution may be to use a new form of authentication based on gesture recognition. This type of authentication has the added advantage that in the case of compromise, the gesture can be changed yet still retain the advantages of the biometric input. In this paper, we investigate whether it is feasible to implement a Gesture Recognition system on a personal limited device such as a smart card. To do this, we set out an experiment using sample gestures based on practical results of gesture authentication trials and an optimised version of Dynamic Time Warping (DTW) algorithm to analyse the data captured. We implemented them on both a contact Smart Card (SC) and the more powerful Samsung Galaxy S4 mobile phone, using Host Card Emulation (HCE). The result of this experiment was that it would take around a minute for the SC and a second for HCE.
手势识别实现在个人有限的设备
对于生物识别系统,主要挑战之一是保护生物识别参考模板,因为如果恶意的个人能够获得该模板,那么真正的用户将无法在任何应用中重复使用生物识别信息。一个解决方案可能是使用一种基于手势识别的新身份验证形式。这种类型的身份验证还有一个额外的优点,即在受到威胁的情况下,可以改变手势,但仍然保留生物识别输入的优点。在本文中,我们研究了在个人有限设备(如智能卡)上实现手势识别系统是否可行。为此,我们根据手势认证试验的实际结果和动态时间扭曲(DTW)算法的优化版本设置了一个实验,使用样本手势来分析捕获的数据。我们使用主机卡仿真(HCE)在接触式智能卡(SC)和更强大的三星Galaxy S4手机上实现了它们。这个实验的结果是,SC大约需要一分钟,HCE需要一秒钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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