Anti-interference non-contact heart rate detection method based on face video

A non-contact, detection method technology, applied in the measurement of pulse rate/heart rate, character and pattern recognition, diagnostic recording/measurement, etc., can solve the problems of low measurement rate, influence, and low detection accuracy, so as to improve accuracy, Effects of reducing noise and improving accuracy

Pending Publication Date: 2020-06-16
绍兴图聚光电科技有限公司
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Problems solved by technology

However, the existing image photoplethysmography (IPPG) generally has shortcomings suc...

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  • Anti-interference non-contact heart rate detection method based on face video
  • Anti-interference non-contact heart rate detection method based on face video
  • Anti-interference non-contact heart rate detection method based on face video

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Embodiment Construction

[0025] In order to more clearly illustrate the invention objectives, technical solutions and advantages of the present invention, the present invention will be described in more detail below in conjunction with the accompanying drawings and embodiments.

[0026] refer to figure 1 , a kind of method based on the anti-jamming non-contact detection heart rate of human face video provided by the present invention, the specific steps of implementing are as follows:

[0027] Step 1: If figure 2 As shown, when the camera is used to shoot the subject to obtain video images including human faces, the head of the human body can move forward, backward, left and right, etc. Minor facial changes like speaking, blinking etc.

[0028] Step 2: If image 3 As shown, using the trained face detection model, the position of 68 detection points of the face is detected for each frame of image, and the convex hull of the face, mouth and eyes is calculated by using these 68 detection points. The...

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Abstract

The invention discloses an anti-interference non-contact heart rate detection method based on a face video. The method comprises the following steps: (1) acquiring a video image containing face information through a camera; (2) extracting a face area of interest; (3) calculating the mean value of the data of all pixel RGB channels for the area of interest, and converting the mean value into a color space with separable brightness and color; (4) detrending color components, and projecting the detrended color components to a color component plane to obtain an elliptical model of skin color change; (5) extracting the change of the skin color projected to the long axis of the elliptical model along with the heart rate by using an RANSAC algorithm; and (6) filtering the change, and extracting the heart rate of a testee by using a complete ensemble empirical mode decomposition method. The invention provides a quicker and more accurate non-contact heart rate detection algorithm, and the heartrate value of a head in a moving or static state can be measured more accurately.

Description

[0001] manual technical field [0002] The invention belongs to the field of video image monitoring, in particular to an anti-interference non-contact heart rate detection method based on human face video. Background technique [0003] Heart rate is an important physiological parameter indicator of the human body, which can indicate a person's health and emotional state. Physical exercise, drugs and mental stress will all affect the change of heart rate. The average resting heart rate of adults is between 60-100 beats per minute. After taking sedatives and other drugs, the heart rate will slow down, while hypertension, coronary heart disease, Intense exercise and mood swings can cause your heart rate to increase. Therefore, heart rate information is widely used in medical diagnosis, health assessment and emotion recognition, and is an important life parameter of the human body. [0004] Traditional heart rate detection methods mainly rely on electrodes and sensors, and mos...

Claims

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Application Information

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IPC IPC(8): A61B5/024G06K9/00
CPCA61B5/024A61B5/725G06V40/161G06V40/168
Inventor 何赛灵张劲超
Owner 绍兴图聚光电科技有限公司
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