A Survey of Wearable Biometric Recognition Systems
A Survey of Wearable Biometric Recognition Systems
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DOI：
10.1145/2968215
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发表时间：
2016-12-01
影响因子：
16.6
通讯作者：
Peris-Lopez, Pedro
中科院分区：
文献类型：
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作者：
Blasco, Jorge;Chen, Thomas M.;Peris-Lopez, Pedro
可穿戴设备的日益普及带来了与环境、与其他智能设备以及与他人互动的新方式。配备了一系列传感器的可穿戴设备能够捕捉主人的生理和行为特征，因此非常适合用于生物识别认证，以控制其他设备或访问数字服务。然而，可穿戴生物识别技术与传统的计算机系统生物识别技术（如指纹、眼睛特征或声音）有很大的不同。在本文中，我们讨论了这些差异，并分析了研究人员如何接近可穿戴生物识别领域。我们回顾并提供了一种可穿戴传感器的分类，用于捕获生物特征信号。我们分析了不同信号处理技术的计算成本，这是可穿戴设备等受限设备的重要实用因素。最后，我们从生物识别系统的结构、实验设置和结果等方面对可穿戴生物识别领域的最新建议进行了回顾和分类。我们还对实验问题如评估和可行性方面提出了批评，并对未来工作中需要注意的研究方向提出了一些最后的想法。
The growing popularity of wearable devices is leading to new ways to interact with the environment, with other smart devices, and with other people. Wearables equipped with an array of sensors are able to capture the owner's physiological and behavioural traits, thus are well suited for biometric authentication to control other devices or access digital services. However, wearable biometrics have substantial differences from traditional biometrics for computer systems, such as fingerprints, eye features, or voice. In this article, we discuss these differences and analyse how researchers are approaching the wearable biometrics field. We review and provide a categorization of wearable sensors useful for capturing biometric signals. We analyse the computational cost of the different signal processing techniques, an important practical factor in constrained devices such as wearables. Finally, we review and classify the most recent proposals in the field of wearable biometrics in terms of the structure of the biometric system proposed, their experimental setup, and their results. We also present a critique of experimental issues such as evaluation and feasibility aspects, and offer some final thoughts on research directions that need attention in future work.