Psychological pressure monitoring system based on HRV theory

Abstract

The invention provides a psychological pressure monitoring system based on an HRV theory. The psychological pressure monitoring system is characterized by comprising video equipment, a human face recognition algorithm, a blood volume change pulse (BVP) algorithm, a Heart Rate Variability (HRV) analysis algorithm and a psychological pressure evaluation algorithm, wherein the video equipment is used for acquiring a high-definition face video of a tested object, and is connected with a PC; the human face recognition algorithm, the blood volume change pulse (BVP) algorithm, the HRV analysis algorithm and the psychological pressure evaluation algorithm run on the PC; the human face recognition algorithm is used for performing face positioning on a human face in video data; the blood volume change pulse (BVP) algorithm is used for acquiring a BVP signal of blood volume change in face capillaries, and calculating a heart rate and HRV; the HRV analysis algorithm is used for performing time domain, frequency domain and nonlinear calculation on the HRV; the psychological pressure evaluation algorithm is used for comparing an HRV analysis result with a standard value, and monitoring and reflecting psychological pressure change of the object. By adopting the psychological pressure monitoring system based on the HRV theory provided by the invention, the psychological pressure change situation of the tested object can be monitored through analysis of a plurality of algorithms according to face video data of the tested object at any time and any place.

Description

technical field [0001] The present invention relates to the fields of biometric identification, machine vision and medical health, and can also be applied to some special industries, such as public security interrogation, disciplinary inspection committee conversations and other business scenarios that need to detect changes in the psychological pressure of the object. Background technique [0002] Heart rate variability refers to the periodic change of sinus heart rate within a certain period of time, which reflects the tension and balance of sympathetic and parasympathetic nerves. With the standardization of various indicators of heart rate variability, it becomes an effective means of objectively evaluating the state of psychological stress. However, the existing systems mainly use contact sensors to collect the ECG signal and heart rate variability of the subject, which will cause certain interference to the test subject, and in some specific scenarios, the goal of cover...

AI Technical Summary

Problems solved by technology

[0005] The face recognition algorithm can use the face tracking algorithm for face positioning, and divide the face into two areas between the forehead and the bottom of the eyes and the top of the nose; the three primary colors (R / G / B) of the video image for these two areas ) components are easily disturbed by noise. The face recognition algorithm uses the coherent averaging method to perform a spatial average sequence algorithm on the pixels in the selected area, so that it can also suppress the changes in the light and the facial muscle activity of the test object. Effects of Random Noise on BVP Signals and Improvement of BVP Signal-to-Noise Ratio

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