Real-time monitoring and early warning system and method based on video algorithm

Abstract

The invention provides a real-time monitoring and early warning system and method based on a video algorithm. The real-time monitoring and early warning system comprises an image collection module, animage analysis module, a storage module and a comparison and judgment module, wherein the image collection module is suitable for collecting the fine muscle vibration of the face, neck and other parts of a human body and the overall change of the human body; the image analysis module is electrically connected with the image collection module and is suitable for obtaining vibration parameters of to-be-detected personnel according to pixel point changes of multiple frames of continuously collected images; the storage module stores standard parameters reflecting psychological and physiological states and emotional changes; and the comparison and judgment module is correspondingly and electrically connected with the image analysis module and the storage module, and is suitable for comparing the vibration parameters of the to-be-tested personnel with the standard parameters to obtain the psychological and physiological states and emotional changes of the to-be-tested personnel. The real-time monitoring and early warning system can obtain video images reflecting the physiological and psychological changes of the to-be-tested personnel in real time under the condition of not being perceived by the to-be-tested object, and the situation that a test result is affected by masking or anxiety generation under the condition that the tested personnel knows is avoided.

Description

technical field [0001] The invention relates to the field of human emotion recognition and analysis, in particular to a real-time monitoring and early warning system and method based on video algorithms. Background technique [0002] Any changes in human physiology will be related to the response of human physiological characteristics. In order to obtain comprehensive information on psychophysiology related to the human body, various studies have been conducted so far. Concretely, various implementation technologies such as contact methods, devices, and systems are known. These are well known for medical diagnosis by using parameters of known human physiological signals to assess the emotional and psychological state of a person. [0003] The most widely known system of applying physiological signals is called "lie detector", and the changes in each parameter of the psychophysiological properties (psychophysiological) of the human body when specific external stimuli, such ...

AI Technical Summary

Problems solved by technology

However, the different state changes generated by obtaining information will not be reflected very accurately

This shows that the analyzed image (between) difference state cannot accurately reflect the difference correlation between object position changes

That is, it is very difficult to analyze the target object for subtle changes in position in time and space, and the accuracy and reliability of each parameter measurement for the psychophysiological characteristics of the target object will decrease

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