Analysis of factors on BVP signal extraction based on imaging principle

Xiaobiao Zhang, Xiaoyi Feng, Zhaoqiang Xia

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

The extraction of human physiological based on face video has become a hot research direction, but few researchers pay attention to the process of signal extraction from an optical perspective. This paper establishes an optical model for human skin, and analyzes the principle of extracting human physiological signals from face video by imaging. Based on this model, the effects of melanin and hemoglobin on BVP (blood volume pulse) signal extraction were analyzed. In addition, this paper introduces the model of camera imaging, and discusses the cause of noise generation, analysis of the impact of two kinds of noise on video quality. Finally, this paper uses the MAHNOB database to carry out the heart rate extraction experiment from video, the experiment concluded that: (1) The face with lighter skin color is more conducive to human heart rate extraction; (2) Reducing the signal-noise ratio through compressing the video quality, the impact on the heart rate estimation error reaches minimum as the signal-noise ratio is 30dB; (3) By compressing the original video resolution, color information in the video is reduced, which has a impact on BVP signals extraction, the information recovery can be performed by the method of super-resolution reconstruction.

源语言英语
主期刊名Proceedings of 2019 3rd International Conference on Biometric Engineering and Applications, ICBEA 2019
出版商Association for Computing Machinery
48-55
页数8
ISBN(电子版)9781450363051
DOI
出版状态已出版 - 29 5月 2019
活动3rd International Conference on Biometric Engineering and Applications, ICBEA 2019 - Stockholm, 瑞典
期限: 29 5月 201931 5月 2019

出版系列

姓名ACM International Conference Proceeding Series

会议

会议3rd International Conference on Biometric Engineering and Applications, ICBEA 2019
国家/地区瑞典
Stockholm
时期29/05/1931/05/19

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