Detecting rapid heart rate of multiple people method based on video

Abstract

The invention discloses a detecting rapid heart rate of multiple people method based on video, relating to technical field of human health monitoring. The non-contact method is used to collect the video data of the subjects through camera, and the color space of the video data is converted from RGB to HSV, so that the heart rate of several people can be measured quickly. The detecting rapid heart rate of multiple people method based on video is characterized that though detecting and tracking the multiple face region of input video by camera or existing video, face regions are segmented. The temporal data sequence of the face region is extracted and processed. Then, the heart rate is extracted into the frequency domain. Compared with the prior art, the detecting rapid heart rate of multiple people method, based on improved face detection algorithm and improved tracking algorithm and using multithreaded method to accelerate, can realize the rapid heart rate detection of multiple people, shorten the time of heart rate measurement, and improve the detection efficiency of physiological signals.

Description

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

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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