Video-based dynamic heart rate detection method

A detection method and heart rate technology, applied in the biometric mode based on physiological signals, measuring pulse rate/heart rate, diagnostic recording/measurement, etc., can solve problems such as discomfort, complicated operation, and inconvenience for the measurer, and achieve accurate and applicable detection Wide range, accuracy-enhancing effect

Pending Publication Date: 2021-01-08
SHANDONG IND TECH RES INST OF ZHEJIANG UNIV
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Problems solved by technology

[0005] At present, the traditional heart rate monitoring method is mainly contact type, but because of the complicated operation and the long-term contact with the human skin during the detection process, it will cause some inconvenience and discomfort to the measurer
Moreover, the general measurer needs to be in a static state when measuring the heart rate. When the device is in a state of motion, the recognition accuracy of the device will decrease, so it cannot help special groups such as ADHD patients, athletes, and motor vehicle drivers. The need to measure dynamic heart rate in the state

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[0026]In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention.

[0027]Such asFigure 1-2As shown, a video-based dynamic heart rate detection method includes the following steps:

[0028]S1: Video capture: use an ordinary camera to record continuous video of the face to be tested;

[0029]S2: Face recognition and tracking: detect and recognize the face data information in the video frame, calibrate the key points of the face, and keep track of the face;

[0030]S3: Motion compensation: use a fully convolutional neural network to generate interpolated images for motion compensation between video images;

[0031]S4: Illumination compensation: the use of bilateral filters can retain the characteristics of discontinuities in the illuminated image, obtain accu...

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Abstract

The invention discloses a video-based dynamic heart rate detection method. The method comprises the following steps: S1, video acquisition: carrying out continuous video recording on a human face needing to be tested by utilizing a common camera; s2, face recognition and tracking: detecting and recognizing face data information in the video frame, calibrating face key points, and keeping face tracking; s3, motion compensation: generating an interpolation image for inter-frame motion compensation of the video image by using a full convolutional neural network; s4, illumination compensation; S5,interested skin region signal extraction; s6, heart rate estimation: performing heart rate estimation by utilizing photoplethysmography, signal finding, artifact removal, spectral analysis and ECG-like signal reconstruction technologies; and S7, obtaining a heart rate detection signal. A non-skin-contact detection method is adopted, discomfort of a human body cannot be caused, and the detection accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of heart rate detection, in particular to a video-based dynamic heart rate detection method. Background technique [0002] Heart rate is one of the most commonly measured parameters of the human body, and it is crucial to determine individual health, so heart rate monitoring plays an irreplaceable role in the monitoring of human health. [0003] Face tracking is to continue to capture information such as the position and size of the face in subsequent frames on the premise of detecting the face, including face recognition and face tracking technology. The traditional face recognition technology is mainly based on face recognition of visible light images, especially when the ambient light changes, the recognition effect will drop sharply, and there are still problems such as object occlusion and large differences between side faces and front faces. Traditional face tracking is based on this, and the natural ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N3/04A61B5/024A61B5/0245
CPCA61B5/024A61B5/0245G06V40/16G06V40/161G06V40/171G06V40/10G06V40/15G06V10/25G06N3/048G06N3/045G06F18/2134
Inventor 吴健陈潇俊杨文韬
Owner SHANDONG IND TECH RES INST OF ZHEJIANG UNIV
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