A video-based fast heart rate detection method for multiple people

Abstract

The invention relates to the technical field of human health monitoring, and discloses a video-based rapid heart rate detection method for multiple people, which uses a non-contact method to collect video data of the subject through a camera, and converts the color space of the video data from RGB to HSV to realize Quickly measure the heart rate of multiple people. It is characterized in that the method detects and tracks the video input by the camera or multiple face areas in the existing video and segments the cheek area, extracts the time domain data sequence of the cheek area and performs preprocessing, and then converts to the frequency domain Extract the heart rate. Compared with the prior art, the present invention is based on an improved face detection algorithm and an improved tracking algorithm and is accelerated by a multi-thread method, which can realize rapid heart rate detection of multiple people, shorten the time of heart rate measurement, and improve the detection of physiological signals efficiency.

Description

technical field [0001] The patent of the present invention relates to the technical field of human health monitoring, in particular to a method that can realize rapid heart rate measurement of multiple people. Background technique [0002] Heart rate refers to the number of times the heart beats per minute and varies with age, gender, and other physiological conditions. The heart rate of newborns is very fast, reaching more than 130 beats / min. There are significant individual differences in the resting heart rate of normal adults, with an average of about 75 beats / min (60-100 beats / min). For the same person, the heart rate slows down when resting or sleeping, and increases when exercising or having mood swings. Therefore, heart rate can fully reflect a person's physical condition, is an important physiological parameter for self-health monitoring, and is also an important basis for doctors to diagnose diseases for patients. [0003] Heart rate can be divided into contact ...

AI Technical Summary

Problems solved by technology

One of the representatives of contact measurement is the gold standard of heart rate measurement—electrocardiogram (EEG). In addition, there are contact measurement methods that wrap chest straps, cuffs or electrodes on wrists, fingertips, earlobes, etc. The biggest disadvantage is that the measurement operation is complicated, the measurement period is long, and the contact with the skin will bring discomfort to the subject. The non-contact measurement method based on photoplethysmography (IPPG) overcomes the disadvantages of the contact heart rate measurement method. The disadvantage is that the non-contact measurement method that is widely used at present

[0004] However, the non-contact measurement method based on the existing IPPG is sensitive to light changes, the measurement speed is low, the measurement results are easily affected by motion artifacts, the accuracy of the heart rate measurement results is low, and most of them are based on the heart rate measurement of a single person. And other issues

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