基于相机图像的心率估计

2014 14th International Conference on Intelligent Systems Design and Applications Pub Date : 2014-11-01 DOI:10.1109/ISDA.2014.7066275

T. Kitajima, SangOn Choi, E. Murakami

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引用次数: 12

摘要

用户在看电视时远程测量心率，可以为我们的家庭带来许多有前途的应用，如用户偏好估计、自动文摘编辑和健身。我们开发了一种使用相机图像的非接触式心率测量方法，使用户可以在没有任何附件的情况下测量心率。我们把注意力集中在血液中的氧合血红蛋白上，它吸收绿光，并通过检测人脸图像中绿色强度的变化来测量心率。在之前的研究中，当一个人在运动时，不可能精确测量心率。在这种方法中，我们可以期望它将被应用于各种应用，因为我们可以准确地测量心率，即使在移动的脸。结果表明，在500勒克斯以上、距离6.0 m的雷击条件下，该系统的检测误差小于3 bpm。

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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Heart rate estimation based on camera image

The remote measurement of the heart rate while the user is watching TV can bring many promising applications to our home such as user's preference estimation, automatic digest edition and fitness. We developed a non-contact heart rate measurement method using camera image so that users can measure the heart rate without any attachments. We focused attention on the blood oxygenated hemoglobin which absorbs the green light and measures the heart rate by detecting the variation of the green color intensity of a person's face image. In previous research, it was not possible to measure the heart rate with precision when a person was in movement. In this proposed method, we can expect that it will be applied to various applications since we can accurately measure the heart rate even while moving the face. The results showed a performance of detection error smaller than 3 bpm for lightning conditions over 500 lux and distances up to 6.0 m.

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来源期刊

2014 14th International Conference on Intelligent Systems Design and Applications

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