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非接触式生物识别生物信号测量传感器及算法。

The non-contact biometric identified bio signal measurement sensor and algorithms.

作者信息

Kim Chan-Il, Lee Jong-Ha

出版信息

Technol Health Care. 2018;26(S1):215-228. doi: 10.3233/THC-174569.

Abstract

In these days, wearable devices have been developed for effectively measuring biological data. However, these devices have tissue allege and noise problem. To solve these problems, biometric measurement based on a non-contact method, such as face image sequencing is developed. This makes it possible to measure biometric data without any operation and side effects. However, it is impossible for a remote center to identify the person whose data are measured by the novel methods. In this paper, we propose the novel non-contact heart rate and blood pressure imaging system, Deep Health Eye. This system has authentication process at the same time as measuring bio signals, through non-contact method. In the future, this system can be convenient home bio signal monitoring system by combined with smart mirror.

摘要

如今,可穿戴设备已被开发用于有效测量生物数据。然而,这些设备存在组织损伤和噪声问题。为了解决这些问题,基于非接触方法(如面部图像序列分析)的生物特征测量技术应运而生。这使得无需任何操作且无副作用地测量生物特征数据成为可能。然而,远程中心无法识别通过这些新方法测量数据的人员。在本文中,我们提出了一种新型非接触心率和血压成像系统——深度健康眼。该系统通过非接触方法在测量生物信号的同时进行身份验证过程。未来,通过与智能镜子相结合,该系统可成为便捷的家庭生物信号监测系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e11a/6004981/7be3c42e71d5/thc-26-thc174569-g001.jpg

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