Facial physiological information shielding method without changing video effect

A physiological information and video technology, applied in the field of personal information security, can solve the problems of biological information privacy leakage, etc., and achieve the effect of convenient and fast protection
CN113780100APending Publication Date: 2021-12-10BEIJING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF TECH
Publication Date
2021-12-10

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Abstract

The invention provides a facial physiological information shielding method without changing a video effect belongs to the field of personal information safety, and the gradual maturation of a video-based non-contact physiological signal detection method makes it possible to obtain physiological parameter information such as personal heart rate, heart rate variability and the like only through a common video. Without knowing, personal physiological information may leak and be analyzed and utilized along with the propagation of the video. According to the facial physiological information shielding method, the video effect is not changed, non-contact physiological signal detection is interfered through single-channel periodic fuzzy filtering and single-channel periodic noise adding technologies, the rPPG principle and the detection process are fully considered, and traditional physiological signal detection methods such as ICA and CHROM can be rapidly and efficiently resisted.
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Description

technical field

[0001] The invention belongs to the field of personal information security, and relates to a facial physiological information shielding method without changing the video effect. Background technique

[0002] The gradual maturity of video-based non-contact physiological signal detection methods makes it possible to obtain personal heart rate, heart rate variability and other physiological parameter information only through ordinary video. Without knowing it, personal physiological information may be leaked and analyzed as the video spreads. At present, in terms of physiological parameter detection methods, the blind source separation algorithm (ICA) and the chromaticity model-based method (CHROM) are mainly used at home and abroad. These two methods can accurately obtain physiological parameters such as personal heart rate and heart rate variability by analyzing ordinary face videos. If combined with methods such as skin segmentation, the heart rate error can...

Claims

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