Biometric identification using shoulder-based PPG sensor

T. Závodník, L. Cernaj, K. Gasparek, M. Micjan, M. Donoval
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Abstract

In this paper we describe a low-power IoT wearable biometric authentication device that uses PPG (photoplethysmography) data to create a biometric authentication system. We describe the challenges that are involved in measurement of PPG signals, processing and classification on an embedded device while using the lowest amount of energy possible to maximize battery life.
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基于肩部的PPG传感器的生物特征识别
在本文中,我们描述了一种低功耗物联网可穿戴生物识别认证设备,该设备使用PPG(光电体积脉搏波)数据来创建生物识别认证系统。我们描述了在嵌入式设备上测量PPG信号、处理和分类所涉及的挑战,同时使用尽可能少的能量来最大化电池寿命。
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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