基于智能手表的生物识别步态识别

Andrew H. Johnston, Gary M. Weiss
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引用次数: 131

摘要

商用智能手表的出现为移动生物识别技术提供了一个有趣的新平台。与智能手机一样,这些移动设备也可以进行基于步态的生物识别,因为它们也包含一个加速度计和一个陀螺仪。然而,与智能手机相比,智能手表在生物识别方面有几个优势,因为用户几乎总是在相同的位置和方向佩戴手表。这个位置(如手腕)比智能手机上最常见的位置(如口袋或手提包)提供更多关于用户动作的信息。在本文中,我们通过展示基于智能手表的识别和认证模型的高准确性,展示了将智能手表用于基于步态的生物识别的可行性。基于智能手表的生物识别技术的应用范围从用于多因素身份验证系统的新身份验证挑战到通过识别共享设备的用户来实现自动个性化。
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Smartwatch-based biometric gait recognition
The advent of commercial smartwatches provides an intriguing new platform for mobile biometrics. Like their smartphone counterparts, these mobile devices can perform gait-based biometric identification because they too contain an accelerometer and a gyroscope. However, smartwatches have several advantages over smartphones for biometric identification because users almost always wear their watch in the same location and orientation. This location (i.e. the wrist) tends to provide more information about a user's movements than the most common location for smartphones (pockets or handbags). In this paper we show the feasibility of using smartwatches for gait-based biometrics by demonstrating the high levels of accuracy that can result from smartwatch-based identification and authentication models. Applications of smartwatch-based biometrics range from a new authentication challenge for use in a multifactor authentication system to automatic personalization by identifying the user of a shared device.
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